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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. 7-RES-JB
    11. 230
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    Explanations

    symbols and punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    symbols and format-related elements, particularly in coding and documentation contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Page
    -1.11
    Bul
    -0.98
    Sche
    -0.98
    Function
    -0.97
    Ep
    -0.95
    Mobil
    -0.95
    Pg
    -0.94
    Connect
    -0.93
    ãĤ¶
    -0.92
    Round
    -0.92
    POSITIVE LOGITS
     ult
    0.84
     i
    0.81
     nod
    0.79
     ful
    0.79
     veh
    0.78
     eleph
    0.76
     compare
    0.76
     collide
    0.76
    assetsadobe
    0.75
     je
    0.75
    Activations Density 0.371%

    No Known Activations