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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. 17088
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    oai_token-act-pair · gpt-3.5-turbo

    patterns resembling sections of code or formatted data outputs

    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
    matically
    -0.74
     doping
    -0.70
     grazing
    -0.68
    ischer
    -0.68
    lling
    -0.66
     miscarriage
    -0.65
     Lancaster
    -0.64
    cent
    -0.64
    wagen
    -0.63
     Sparrow
    -0.62
    POSITIVE LOGITS
    ===
    1.33
    ==
    1.26
    -|
    1.17
    =-=-
    1.13
    =-
    1.12
    -->
    1.11
    */
    1.10
    ||
    1.08
    EGIN
    1.06
    -+
    1.04
    Activations Density 0.063%

    No Known Activations