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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. 3725
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    Explanations

    terms related to requirements and necessities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the need or necessity for something

    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
    ight
    -0.74
    ship
    -0.71
     Speedway
    -0.69
    nam
    -0.69
    speak
    -0.68
    nat
    -0.68
    luaj
    -0.68
    bart
    -0.67
    bench
    -0.67
    kind
    -0.67
    POSITIVE LOGITS
     patience
    0.80
     fewer
    0.77
    ered
    0.77
     minimal
    0.75
     compromising
    0.74
     costly
    0.73
     obedience
    0.73
     careful
    0.73
     compromises
    0.73
     periodic
    0.70
    Activations Density 0.042%

    No Known Activations