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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. 6-RES-JB
    11. 9519
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    INDEX
    Explanations

    mentions of crime-related words or terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to crime and criminal activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.84
     Centauri
    -0.82
    VIDEO
    -0.72
    FORM
    -0.71
    lists
    -0.69
    #$
    -0.68
    zl
    -0.66
     Annex
    -0.64
    hof
    -0.63
     Oo
    -0.62
    POSITIVE LOGITS
    inals
    1.00
    eware
    0.92
    inally
    0.89
    inatory
    0.88
    ming
    0.87
    etric
    0.86
    acies
    0.85
    inant
    0.82
    bers
    0.81
    orah
    0.81
    Activations Density 0.029%

    No Known Activations