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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. 22494
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    INDEX
    Explanations

    mentions of future plans or intentions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "plans" in different contexts

    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
     ILCS
    -0.86
    asu
    -0.72
     Stain
    -0.70
     Temper
    -0.70
    mint
    -0.69
    osi
    -0.68
    gel
    -0.67
    ruciating
    -0.67
    anny
    -0.66
    inity
    -0.66
    POSITIVE LOGITS
    creen
    0.84
     plans
    0.82
     Plans
    0.81
     Parenthood
    0.76
    isphere
    0.76
    ets
    0.76
    etting
    0.74
    paren
    0.73
     2030
    0.73
     ahead
    0.72
    Activations Density 0.026%

    No Known Activations