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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. 1-RES-JB
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    Explanations

    the name "Otto" at various instances in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Otto" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bolt
    -0.77
    rise
    -0.75
    pur
    -0.73
    oire
    -0.73
    draw
    -0.71
    roads
    -0.71
    Stars
    -0.71
    creen
    -0.70
    anooga
    -0.69
    leaders
    -0.69
    POSITIVE LOGITS
     Otto
    1.19
     Warm
    0.77
    obic
    0.73
    vor
    0.72
    ickson
    0.68
    iazep
    0.68
    isexual
    0.68
     Werner
    0.68
     srfAttach
    0.67
    ischer
    0.66
    Activations Density 0.019%

    No Known Activations