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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15764
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    Explanations

    references to the city of Berkeley

    oai_token-act-pair · gpt-3.5-turbo

    the name "Berkeley" mentioned repeatedly in various 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
    mble
    -0.77
    ugu
    -0.77
    oire
    -0.77
    ivably
    -0.73
    meaning
    -0.71
    ACTED
    -0.68
     advoc
    -0.66
    orship
    -0.66
     Cameroon
    -0.63
    istration
    -0.63
    POSITIVE LOGITS
    keley
    1.18
     Berkeley
    0.90
     Heights
    0.86
     Unified
    0.86
    shire
    0.81
     Marina
    0.81
     Extension
    0.76
     County
    0.74
     Hills
    0.74
     Grounds
    0.74
    Activations Density 0.017%

    No Known Activations