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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 7526
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    Explanations

    phrases or terms that are quoted, referred to, or identified as specific labels

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve referencing or labeling something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.70
    oration
    -0.69
    ooter
    -0.67
     earthqu
    -0.63
    artifacts
    -0.62
    yrus
    -0.60
    oppy
    -0.59
     teasp
    -0.58
    ————————————————
    -0.58
    lication
    -0.57
    POSITIVE LOGITS
    XM
    0.75
    illet
    0.72
    urally
    0.71
     termed
    0.69
    guards
    0.67
    called
    0.65
     eq
    0.65
    fit
    0.62
    /+
    0.62
     sizeof
    0.60
    Activations Density 0.091%

    No Known Activations