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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. 9094
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    Explanations

    references to specific works of art

    oai_token-act-pair · gpt-3.5-turbo

    titles of artistic works or media

    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
    ITNESS
    -0.80
    ickets
    -0.77
    ugs
    -0.70
    acted
    -0.68
    METHOD
    -0.68
    acus
    -0.68
    bell
    -0.68
    plet
    -0.67
    acists
    -0.67
    atz
    -0.66
    POSITIVE LOGITS
     Triumph
    0.73
     remembrance
    0.72
     precedence
    0.66
     Seym
    0.65
     veter
    0.65
     Adin
    0.65
     Veter
    0.65
     Emin
    0.64
     order
    0.63
    imental
    0.61
    Activations Density 0.000%

    No Known Activations