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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. 6464
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    Explanations

    references to voting or expressing a preference in elections

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to voting and electoral participation

    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
    ciating
    -0.75
    ptoms
    -0.72
     Flavoring
    -0.71
    OLOGY
    -0.71
     Kut
    -0.70
    auga
    -0.68
    Else
    -0.68
    operation
    -0.68
    emer
    -0.67
    ology
    -0.65
    POSITIVE LOGITS
     against
    0.82
    room
    0.77
    eering
    0.76
     bloc
    0.71
    rieve
    0.69
    rooms
    0.69
    ndum
    0.69
     differently
    0.68
     SNP
    0.68
    arate
    0.67
    Activations Density 0.038%

    No Known Activations