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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. 11-RES-JB
    11. 13753
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    Explanations

    phrases related to specific actions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to functionality and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )",
    -0.78
    sequently
    -0.78
    Initially
    -0.76
    similar
    -0.73
     emphas
    -0.70
    rouse
    -0.69
    actionDate
    -0.69
    sequent
    -0.68
     [+
    -0.68
    Initial
    -0.68
    POSITIVE LOGITS
     goddamn
    1.57
     godd
    1.32
     fucking
    1.20
     damn
    1.13
     FUCK
    1.10
     Godd
    1.06
     darn
    1.01
     freaking
    1.00
     shitty
    0.91
     shit
    0.91
    Activations Density 1.026%

    No Known Activations