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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. 3-RES-JB
    11. 21175
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    Explanations

    phrases related to law enforcement and confidential sources

    oai_token-act-pair · gpt-3.5-turbo

    references to informants and specific individuals in legal or investigative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.82
    adena
    -0.76
    bery
    -0.74
    isure
    -0.73
    pes
    -0.73
    utsche
    -0.73
    forts
    -0.69
    âĶĢâĶĢâĶĢâĶĢ
    -0.69
     Bie
    -0.69
    cuts
    -0.69
    POSITIVE LOGITS
     Hancock
    0.76
     Compton
    0.72
     Ingram
    0.70
    iband
    0.69
     informant
    0.68
    clave
    0.68
    rower
    0.67
     Civic
    0.66
    nexus
    0.64
    uala
    0.63
    Activations Density 0.022%

    No Known Activations