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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. 0-RES-JB
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    Explanations

    mentions of geographical locations, specifically states

    oai_token-act-pair · gpt-3.5-turbo

    mention of "states" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifice
    -0.69
    cano
    -0.69
    plin
    -0.69
    ucci
    -0.68
    cape
    -0.68
    ordon
    -0.63
    umo
    -0.63
    ourn
    -0.63
    arin
    -0.63
    workshop
    -0.62
    POSITIVE LOGITS
     states
    3.82
    States
    2.75
    states
    2.71
     States
    2.42
     STATES
    2.15
     state
    1.92
    state
    1.73
     provinces
    1.66
     jurisdictions
    1.61
     counties
    1.59
    Activations Density 0.027%

    No Known Activations