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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. 3650
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    Explanations

    words related to scalability and technological advancement

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific formatting or characters, particularly indicating a significant separation or end

    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
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    No Comments

    Negative Logits
     Governors
    -0.71
    omes
    -0.68
    dit
    -0.63
    icipated
    -0.63
    UNE
    -0.63
    éĹĺ
    -0.62
    MAP
    -0.60
    ederal
    -0.59
    riad
    -0.59
    CHR
    -0.58
    POSITIVE LOGITS
    orem
    0.91
    pel
    0.85
    imony
    0.85
    iple
    0.84
    ming
    0.83
    atism
    0.82
    icious
    0.81
    atra
    0.77
    pling
    0.76
    tein
    0.74
    Activations Density 0.097%

    No Known Activations