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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. 4-RES-JB
    11. 16257
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    Explanations

    mentions of specific cities

    oai_token-act-pair · gpt-3.5-turbo

    references to cities

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

    No Comments

    Negative Logits
    etsk
    -0.94
    igham
    -0.94
    pmwiki
    -0.78
    sembly
    -0.78
    irement
    -0.77
    imilar
    -0.76
    aye
    -0.75
    peria
    -0.75
    iotic
    -0.75
    opsis
    -0.74
    POSITIVE LOGITS
    scape
    1.21
    wide
    1.12
     skyline
    1.01
     dwell
    0.94
     councillor
    0.92
     hall
    0.91
     council
    0.90
     streets
    0.86
     halls
    0.85
     councillors
    0.82
    Activations Density 0.045%

    No Known Activations