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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

    town names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "town" 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
    ollo
    -0.76
    Dom
    -0.74
    inguished
    -0.73
    positive
    -0.73
    ces
    -0.72
    ental
    -0.71
    dry
    -0.70
    acterial
    -0.69
    nt
    -0.69
    ances
    -0.69
    POSITIVE LOGITS
    spe
    1.16
    folk
    1.03
     town
    1.02
    houses
    1.02
    house
    0.96
     halls
    0.92
     mayors
    0.88
     hall
    0.85
    scape
    0.84
    stead
    0.83
    Activations Density 0.017%

    No Known Activations