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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. 20159
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    Explanations

    adjectives related to physical descriptions

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "greatness" or "significance."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    OTOS
    -0.65
     Mub
    -0.63
     Kurd
    -0.60
    izable
    -0.59
    govtrack
    -0.59
     attm
    -0.59
     CFR
    -0.58
    azeera
    -0.58
    tnc
    -0.57
    ortmund
    -0.57
    POSITIVE LOGITS
    wald
    0.98
    eton
    0.88
    ppe
    0.82
    heit
    0.79
    ldom
    0.77
    esome
    0.76
    poon
    0.74
    cale
    0.74
    cone
    0.72
    reau
    0.71
    Activations Density 0.093%

    No Known Activations