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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. 6-RES-JB
    11. 780
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    Explanations

    words related to specific cities or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific city

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igham
    -0.85
    etsk
    -0.80
    iotic
    -0.80
    imilar
    -0.79
    pmwiki
    -0.79
    sembly
    -0.79
    imaru
    -0.77
    opsis
    -0.77
    arlane
    -0.77
    zees
    -0.76
    POSITIVE LOGITS
    scape
    1.31
     skyline
    1.09
    wide
    1.05
     councillor
    0.93
     dwell
    0.93
     streets
    0.92
     council
    0.92
     hall
    0.88
     councillors
    0.87
     halls
    0.83
    Activations Density 0.053%

    No Known Activations