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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. 11-RES-JB
    11. 14640
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    Explanations

    references to different lakes

    oai_token-act-pair · gpt-3.5-turbo

    references to various lakes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulously
    -0.83
    ————
    -0.83
    iments
    -0.72
    ulate
    -0.71
    AAAAAAAA
    -0.69
    ICAL
    -0.69
    Interstitial
    -0.67
    IBLE
    -0.67
    enaries
    -0.65
    edy
    -0.65
    POSITIVE LOGITS
     Erie
    1.23
    front
    1.22
     Superior
    1.01
    wood
    1.00
     Zurich
    0.94
    land
    0.93
    view
    0.93
     Michigan
    0.93
     Shore
    0.93
    hurst
    0.92
    Activations Density 0.027%

    No Known Activations