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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. 18599
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    Explanations

    words related to accumulation or storing

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the exclamation "ho"

    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
     Annotations
    -0.88
     GOODMAN
    -0.74
    ortium
    -0.74
     Sacrament
    -0.73
    âĶģ
    -0.70
    é»Ĵ
    -0.69
    ãĤ¼ãĤ¦ãĤ¹
    -0.68
     Consent
    -0.67
     Clause
    -0.66
     Proceedings
    -0.65
    POSITIVE LOGITS
    arding
    1.32
    oping
    1.11
    ppy
    1.10
    efully
    1.07
    eful
    1.03
    vel
    1.00
    arded
    1.00
    ogie
    0.99
    pper
    0.97
    opy
    0.96
    Activations Density 0.003%

    No Known Activations