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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. 6-RES-JB
    11. 18730
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    Explanations

    text related to invitations or calls to action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Come" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raid
    -0.93
    orthodox
    -0.84
     tiss
    -0.83
    ruff
    -0.81
    uyomi
    -0.79
    hedon
    -0.79
    guided
    -0.78
    isite
    -0.77
    aido
    -0.76
    ethical
    -0.76
    POSITIVE LOGITS
     hither
    0.82
     forth
    0.78
     Weeks
    0.75
     WRITE
    0.75
     undone
    0.73
     attractions
    0.73
    backs
    0.72
     Forth
    0.72
     pouring
    0.71
     knocking
    0.68
    Activations Density 0.046%

    No Known Activations