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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. 4987
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    monetary values

    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
     Gors
    -0.76
     exerc
    -0.76
     compe
    -0.69
     Middles
    -0.68
     Valent
    -0.68
     Carbuncle
    -0.67
     Glou
    -0.65
     htt
    -0.65
    umbn
    -0.65
     twe
    -0.64
    POSITIVE LOGITS
    false
    1.12
    100
    1.12
    500
    1.09
    300
    1.09
    1
    1.08
    400
    1.06
    250
    1.05
    200
    1.05
    HOME
    1.04
    600
    1.03
    Activations Density 0.078%

    No Known Activations