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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. 5940
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    Explanations

    terms related to medical procedures, ailments, and injuries

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to actions and processes, particularly those ending in "ing" or "ed"

    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
    POS
    -0.73
    @#&
    -0.66
    κ
    -0.65
    _-
    -0.65
    Present
    -0.64
    cci
    -0.64
    WATCH
    -0.64
    verse
    -0.63
     Braun
    -0.63
    REP
    -0.62
    POSITIVE LOGITS
    axy
    0.88
    gorith
    0.79
    ashtra
    0.78
    aled
    0.77
    imentary
    0.75
    asin
    0.73
    anguage
    0.72
    aling
    0.71
    gorithm
    0.70
    onian
    0.70
    Activations Density 0.007%

    No Known Activations