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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. 2-RES-JB
    11. 17457
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    Explanations

    instances where something is very clear or obvious

    oai_token-act-pair · gpt-3.5-turbo

    the word "evident" and its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.84
    pton
    -0.74
    pered
    -0.72
    create
    -0.72
    fing
    -0.71
    EStreamFrame
    -0.70
    zanne
    -0.69
    scribe
    -0.69
    atern
    -0.68
    prime
    -0.66
    POSITIVE LOGITS
    iary
    1.36
     evident
    0.89
    ial
    0.80
     Signs
    0.75
     signs
    0.73
    wcsstore
    0.72
    iation
    0.72
    icative
    0.72
    ances
    0.71
    IFIED
    0.71
    Activations Density 0.008%

    No Known Activations