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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
    11. 7040
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    Explanations

    names of locations, specifically cities and towns

    oai_token-act-pair · gpt-3.5-turbo

    names of locations and people associated with them

    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
    cer
    -0.78
    CVE
    -0.73
    Iraq
    -0.72
    Americ
    -0.70
    angers
    -0.67
    onies
    -0.67
    bidden
    -0.65
    ARC
    -0.65
    cific
    -0.65
    trigger
    -0.63
    POSITIVE LOGITS
     Everett
    1.53
    verett
    1.13
     Lowell
    0.99
     Tacoma
    0.84
     Dickinson
    0.82
    ertodd
    0.79
     Mills
    0.75
     Wheeler
    0.74
     Hutchinson
    0.74
     Crosby
    0.74
    Activations Density 0.008%

    No Known Activations