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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. 10-RES-JB
    11. 7949
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    Explanations

    mentions of rain and related weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to rain and its related conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ó
    -0.76
    ovo
    -0.74
     sshd
    -0.74
    VICE
    -0.72
    ancial
    -0.70
    lde
    -0.70
    umbn
    -0.69
    entric
    -0.68
    zbek
    -0.67
    nesota
    -0.66
    POSITIVE LOGITS
    bows
    1.78
    forest
    1.59
    drops
    1.45
    storms
    1.35
    water
    1.34
    drop
    1.24
    storm
    1.23
    falls
    1.13
    meter
    1.12
    bow
    1.12
    Activations Density 0.034%

    No Known Activations