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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. 10837
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    Explanations

    proper nouns or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of individuals

    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
    ĸļ
    -0.71
    ãĥ¼ãĥĨ
    -0.65
    åĤ
    -0.59
     womb
    -0.58
     Cerberus
    -0.55
    ãĤ´ãĥ³
    -0.55
     cradle
    -0.54
     Gemini
    -0.54
     fame
    -0.53
     CLSID
    -0.53
    POSITIVE LOGITS
    anta
    0.66
    aud
    0.62
    ip
    0.61
    mar
    0.60
    hend
    0.58
    aj
    0.58
    ait
    0.58
    ada
    0.57
    wind
    0.56
    adh
    0.56
    Activations Density 0.779%

    No Known Activations