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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. 8477
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    Explanations

    phrases indicating a sequence of actions or steps

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating procedures or steps to achieve a goal

    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
    tek
    -0.74
    tu
    -0.73
    tur
    -0.73
     Dirk
    -0.73
    tex
    -0.71
    vous
    -0.70
    milo
    -0.68
    haired
    -0.65
    reath
    -0.64
    odor
    -0.64
    POSITIVE LOGITS
     Osw
    0.85
    liness
    0.77
    lies
    0.75
    ãĥĻ
    0.72
    eering
    0.68
     rul
    0.68
    ropy
    0.67
     coer
    0.66
    ppel
    0.66
     order
    0.64
    Activations Density 0.018%

    No Known Activations