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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. 4927
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    Explanations

    proper nouns or names related to locations or people with a distinct pattern of characters

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to people and places

    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
    ĸļ
    -0.92
    ©¶æ
    -0.69
     Reincarn
    -0.67
     Uriel
    -0.67
     thor
    -0.65
     Pradesh
    -0.63
     nitrogen
    -0.61
    DIR
    -0.61
     Salvation
    -0.60
     UFOs
    -0.60
    POSITIVE LOGITS
    sels
    0.99
    itte
    0.94
    olini
    0.93
    zinski
    0.92
    veland
    0.90
    gger
    0.89
    illin
    0.88
    swick
    0.88
    illet
    0.88
    ça
    0.87
    Activations Density 0.059%

    No Known Activations