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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. 12219
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    Explanations

    references to icons or iconic things

    oai_token-act-pair · gpt-3.5-turbo

    references to icons or iconography

    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
    IGH
    -0.69
    EEE
    -0.67
    ingly
    -0.66
    ndum
    -0.64
     Thoughts
    -0.63
    idden
    -0.62
    nda
    -0.59
    razil
    -0.58
    UGE
    -0.58
    ood
    -0.58
    POSITIVE LOGITS
    ocl
    1.53
    nect
    1.08
    ically
    1.08
    ography
    1.00
    icity
    0.95
    osite
    0.93
    stones
    0.92
    ographic
    0.92
    ographically
    0.92
    icons
    0.91
    Activations Density 0.036%

    No Known Activations