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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. 3-RES-JB
    11. 13098
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    INDEX
    Explanations

    specific years

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alone
    -0.72
    pton
    -0.72
    asts
    -0.71
    Äĩ
    -0.69
    robe
    -0.67
    ania
    -0.67
    asted
    -0.67
    orld
    -0.66
     Tycoon
    -0.65
    atic
    -0.65
    POSITIVE LOGITS
    uador
    0.85
    201
    0.83
    rf
    0.76
    809
    0.76
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.75
    209
    0.72
    506
    0.71
    00000
    0.71
    303
    0.70
    0000000000000000
    0.69
    Activations Density 0.016%

    No Known Activations