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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. 8-RES-JB
    11. 10666
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    INDEX
    Explanations

    expressions of admiration or appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of affection or love

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isen
    -0.73
    eree
    -0.73
    emer
    -0.71
    ilion
    -0.71
    Purchase
    -0.69
    opard
    -0.68
    Pres
    -0.68
    ocument
    -0.68
    rim
    -0.66
    AIDS
    -0.66
    POSITIVE LOGITS
     seeing
    0.92
    poke
    0.86
     listening
    0.85
     watching
    0.84
     hearing
    0.80
     compliments
    0.73
     experimenting
    0.73
     myself
    0.72
     reading
    0.69
     how
    0.69
    Activations Density 0.066%

    No Known Activations