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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. 1940
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    Explanations

    phrases related to experiencing or being impacted by negative situations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to burdens, impacts, and issues faced by specific groups or communities

    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
    atility
    -0.78
    ions
    -0.76
    ing
    -0.74
    croft
    -0.71
    atile
    -0.70
    poon
    -0.70
    score
    -0.67
    ris
    -0.67
    ibilities
    -0.66
     intellect
    -0.66
    POSITIVE LOGITS
    selves
    0.86
     Dru
    0.77
    ographically
    0.74
     Scotia
    0.73
    atown
    0.71
    soType
    0.70
    ovie
    0.70
     Tot
    0.70
    uala
    0.69
     Anaheim
    0.68
    Activations Density 0.041%

    No Known Activations