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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. 1815
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1993

    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
    semb
    -0.71
    Tu
    -0.69
    edge
    -0.67
    hed
    -0.67
    holder
    -0.67
    tro
    -0.66
    Edge
    -0.63
    strings
    -0.62
    bors
    -0.62
    ener
    -0.62
    POSITIVE LOGITS
    ĸļ
    1.00
    uncture
    0.73
    ovies
    0.72
    ohydrate
    0.70
    å¹
    0.70
    ãĥ£
    0.69
     onwards
    0.68
     Rwanda
    0.68
    theless
    0.68
    achine
    0.67
    Activations Density 0.026%

    No Known Activations