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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
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    Explanations

    conditional statements that express hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases involving hypothetical scenarios

    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
     Higgins
    -0.66
    ì
    -0.65
     Cutter
    -0.63
    Flor
    -0.63
    ibel
    -0.61
     Lauder
    -0.60
     Alv
    -0.59
     subur
    -0.59
    Items
    -0.58
     Verd
    -0.57
    POSITIVE LOGITS
     somehow
    0.85
     someday
    0.83
     truly
    0.74
    mble
    0.73
     succeed
    0.72
    illet
    0.70
    nt
    0.68
     indeed
    0.65
     mirac
    0.65
    cus
    0.65
    Activations Density 0.219%

    No Known Activations