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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. 6-RES-JB
    11. 4219
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    Explanations

    names starting with "Hu"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific subject or entity, indicated by a repeated token

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.85
    20439
    -0.79
    Ú
    -0.77
     Commonwealth
    -0.71
    ãĥĹ
    -0.71
    ãĥ¼ãĥĨ
    -0.69
     partName
    -0.69
    ampton
    -0.67
     Leviathan
    -0.66
     Divide
    -0.66
    POSITIVE LOGITS
    awei
    1.24
    lda
    1.24
    anca
    1.11
    bert
    1.02
    undai
    0.95
    pton
    0.94
    ahah
    0.93
    anan
    0.92
    pees
    0.91
    isine
    0.89
    Activations Density 0.019%

    No Known Activations