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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. 4009
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    Explanations

    words related to social interactions and visits

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the verbs "come" and "came"

    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
    nesota
    -0.74
    orthodox
    -0.72
    ruff
    -0.70
    versible
    -0.70
    orsche
    -0.69
    orst
    -0.69
    stant
    -0.68
    icons
    -0.68
    olor
    -0.67
    imon
    -0.67
    POSITIVE LOGITS
     ashore
    1.10
     hither
    1.09
     forth
    0.98
     into
    0.91
     undone
    0.90
     aboard
    0.90
     alive
    0.88
     downstairs
    0.86
     INTO
    0.86
     out
    0.83
    Activations Density 0.075%

    No Known Activations