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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. 1299
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    Explanations

    words related to negative connotations or vices

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "persecution" or being targeted and struggles within social contexts

    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
    schild
    -0.75
    bane
    -0.69
    bley
    -0.66
    ById
    -0.66
    ĸļ
    -0.65
    nuts
    -0.63
     prototypes
    -0.61
     Lann
    -0.61
     fronts
    -0.61
     puppies
    -0.60
    POSITIVE LOGITS
    ctory
    1.01
    etric
    0.82
    idence
    0.75
    reau
    0.74
    APS
    0.70
    iller
    0.68
    cia
    0.68
    rency
    0.68
    ulture
    0.67
    imeter
    0.67
    Activations Density 0.061%

    No Known Activations