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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. 6-RES-JB
    11. 14623
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    Explanations

    statements related to actions and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal proceedings and allegations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arse
    -0.63
     pione
    -0.61
    ãĤ´
    -0.58
    ÃĥÃĤ
    -0.56
    ãĥĺ
    -0.56
     exting
    -0.56
    inav
    -0.55
     teasp
    -0.54
    cffffcc
    -0.54
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.54
    POSITIVE LOGITS
     discrepancies
    0.62
     respondents
    0.54
     it
    0.54
     anyone
    0.53
     these
    0.51
     similarities
    0.51
     historians
    0.50
     observers
    0.50
     tensions
    0.50
     disparities
    0.50
    Activations Density 1.136%

    No Known Activations