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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. 9-RES-JB
    11. 17651
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    INDEX
    Explanations

    proper nouns, particularly names and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.74
    ACTED
    -0.73
     enactment
    -0.71
     exception
    -0.71
     scrut
    -0.63
     consistency
    -0.63
     reconc
    -0.62
     subscribing
    -0.60
     RCMP
    -0.60
     caucuses
    -0.59
    POSITIVE LOGITS
    apon
    0.97
    raltar
    0.96
    onz
    0.94
    ierrez
    0.92
    agall
    0.87
    anan
    0.87
    apons
    0.87
    reau
    0.87
    vernment
    0.85
    abyte
    0.84
    Activations Density 0.130%

    No Known Activations