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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. 9367
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    INDEX
    Explanations

    references to urgency or immediacy

    oai_token-act-pair · gpt-3.5-turbo

    terms related to immediate effects or consequences

    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
    cius
    -0.84
    acus
    -0.78
    doctor
    -0.76
    ingers
    -0.74
    glers
    -0.74
    _-
    -0.73
    ramids
    -0.71
     Conduct
    -0.69
    leck
    -0.68
    MET
    -0.68
    POSITIVE LOGITS
    aneously
    1.29
     gratification
    1.16
    izable
    0.85
    aneous
    0.84
     immediate
    0.84
     aftermath
    0.82
    motion
    0.76
     reaction
    0.76
    mediate
    0.74
     overflow
    0.73
    Activations Density 0.013%

    No Known Activations