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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. 0-RES-JB
    11. 4893
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    Explanations

    words related to user input or feedback

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "input"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    juven
    -0.78
    venge
    -0.74
    Wars
    -0.73
    quarters
    -0.73
    worthy
    -0.70
     Ukrain
    -0.67
     chap
    -0.65
    bre
    -0.65
     Politics
    -0.65
     Wealth
    -0.64
    POSITIVE LOGITS
     input
    3.70
     inputs
    2.82
    input
    2.65
     Input
    2.56
    Input
    2.29
     output
    1.86
     feedback
    1.71
     outputs
    1.70
    output
    1.62
    Output
    1.44
    Activations Density 0.014%

    No Known Activations