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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. 2237
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    Explanations

    proper nouns, specifically the name "Graham" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Graham" across various contexts

    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
    cles
    -1.00
    merce
    -0.82
    ointed
    -0.77
    puter
    -0.74
    selves
    -0.71
    ting
    -0.71
    haps
    -0.71
    cled
    -0.71
    cling
    -0.68
    lda
    -0.66
    POSITIVE LOGITS
    esse
    0.82
     Greene
    0.82
    Cass
    0.81
    wagen
    0.81
     Span
    0.79
     Hancock
    0.76
    iday
    0.74
     Graham
    0.72
    enstein
    0.69
     Norton
    0.68
    Activations Density 0.039%

    No Known Activations