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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. 9-RES-JB
    6. 5327
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    Explanations

    mentions of colleges and universities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "UM" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    PLIED
    -0.67
    tty
    -0.64
     Scrib
    -0.59
    utterstock
    -0.57
     awoken
    -0.57
    lift
    -0.56
    RESULTS
    -0.56
    yip
    -0.56
    utenberg
    -0.55
     Shotgun
    -0.55
    POSITIVE LOGITS
    oga
    0.84
    adan
    0.82
    emporary
    0.81
    oba
    0.80
    ados
    0.76
    rane
    0.71
    ucl
    0.70
    ador
    0.70
    ano
    0.68
    aret
    0.68
    Activations Density 0.160%

    No Known Activations