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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. 7-RES-JB
    11. 22653
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    Explanations

    proper nouns related to geographic locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations, particularly "Hills" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.94
    LY
    -0.82
    ISM
    -0.76
    isms
    -0.71
     Rack
    -0.70
    istic
    -0.69
    thumbnails
    -0.68
    ly
    -0.68
    oÄŁ
    -0.66
    uality
    -0.65
    POSITIVE LOGITS
    borough
    1.39
    boro
    1.17
    pring
    1.10
    ourced
    1.07
    dale
    1.02
    ourcing
    1.01
    creen
    1.00
    bury
    0.95
    onse
    0.93
    earch
    0.91
    Activations Density 0.073%

    No Known Activations