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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. 2-RES-JB
    11. 21061
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentage symbols and related numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.73
    ipples
    -0.71
    wagen
    -0.69
     purs
    -0.69
    andr
    -0.67
    Topics
    -0.66
    stru
    -0.64
     reper
    -0.64
     Petersen
    -0.63
    rod
    -0.63
    POSITIVE LOGITS
    %%
    0.89
     %
    0.83
    %%%%
    0.82
    %-
    0.74
    NAME
    0.74
    percent
    0.74
    rance
    0.71
    rowth
    0.70
    optional
    0.70
    oyer
    0.70
    Activations Density 0.004%

    No Known Activations