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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. 1106
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    hire
    -0.72
     TAMADRA
    -0.65
    irrel
    -0.65
    OTE
    -0.65
    pocket
    -0.64
     Norn
    -0.64
     Boh
    -0.63
     Alto
    -0.63
    rooms
    -0.62
    gain
    -0.62
    POSITIVE LOGITS
     sanction
    1.06
     sanctioned
    0.87
     sanctions
    0.83
    ably
    0.81
    SHIP
    0.75
     levied
    0.75
    iate
    0.71
    iless
    0.70
     authorizing
    0.70
    iation
    0.70
    Activations Density 0.016%

    No Known Activations