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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. 10140
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    Explanations

    mentions of local businesses or establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to local establishments or activities

    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
    xual
    -0.96
    haar
    -0.95
    hower
    -0.92
    _-
    -0.82
    orst
    -0.80
    plementation
    -0.78
    rained
    -0.77
    vous
    -0.75
    lihood
    -0.75
    ERSON
    -0.75
    POSITIVE LOGITS
     grocer
    0.85
    ised
    0.83
    izations
    0.82
    ities
    0.81
     antid
    0.81
     sheriff
    0.78
     authorities
    0.78
     governments
    0.78
     jurisdictions
    0.77
    ized
    0.77
    Activations Density 0.025%

    No Known Activations