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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. 11168
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    Explanations

    the word "Bird" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Bird," likely relating to a specific subject or individual associated with that name

    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
    acists
    -0.79
    FINE
    -0.77
    oldemort
    -0.75
    ilitary
    -0.74
    idency
    -0.74
    bered
    -0.72
     unregulated
    -0.70
     millenn
    -0.70
    awaru
    -0.70
    untled
    -0.70
    POSITIVE LOGITS
    bird
    1.30
    bats
    1.20
     Bird
    1.12
    birds
    1.10
    Bird
    1.09
    hawk
    1.06
    zilla
    1.03
    seed
    0.98
    walk
    0.93
    sey
    0.91
    Activations Density 0.007%

    No Known Activations