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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. 1-RES-JB
    11. 18785
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    Explanations

    words related to inspection or examination

    oai_token-act-pair · gpt-3.5-turbo

    terms related to screening processes and evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.79
    nia
    -0.72
    otion
    -0.71
    nant
    -0.69
    otor
    -0.69
    alter
    -0.68
    loss
    -0.67
    lies
    -0.67
    wake
    -0.66
    AW
    -0.65
    POSITIVE LOGITS
     screenings
    1.52
     screened
    1.40
     screening
    1.30
     screens
    1.02
    ards
    0.99
    reens
    0.93
     premie
    0.92
     TVs
    0.89
     Screen
    0.86
    creen
    0.80
    Activations Density 0.005%

    No Known Activations