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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. 24127
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    INDEX
    Explanations

    objects typically associated with crime or law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    references to weapons and their placement

    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
    ivities
    -0.83
    ordes
    -0.76
    ldom
    -0.74
     migr
    -0.73
    ional
    -0.69
    ipel
    -0.68
     Beasts
    -0.66
    ukong
    -0.65
    inctions
    -0.64
    ivals
    -0.63
    POSITIVE LOGITS
    itiz
    0.82
    hang
    0.82
    slot
    0.75
     burner
    0.74
     holder
    0.73
     printer
    0.73
     Oops
    0.72
     circulation
    0.71
     parked
    0.70
     lid
    0.70
    Activations Density 0.346%

    No Known Activations