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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. 7-RES-JB
    11. 21445
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    Explanations

    historical events and statistics

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odcast
    -0.76
    DX
    -0.73
    OND
    -0.66
    abul
    -0.65
    Morning
    -0.64
    Voice
    -0.63
    matter
    -0.63
    payer
    -0.63
    ¶
    -0.62
    hack
    -0.62
    POSITIVE LOGITS
     thereby
    1.00
     thus
    0.95
     hence
    0.85
     consequently
    0.85
     subsequently
    0.83
     consequ
    0.77
     thereafter
    0.77
     assorted
    0.75
     then
    0.75
     vice
    0.74
    Activations Density 0.471%

    No Known Activations