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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. 4-RES-JB
    11. 4590
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    Explanations

    references to specific episodes or segments of a series

    oai_token-act-pair · gpt-3.5-turbo

    references to specific episodes of shows or series

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

    No Comments

    Negative Logits
    folk
    -0.82
    sheets
    -0.82
    minist
    -0.80
    quartered
    -0.76
    iage
    -0.74
    ndra
    -0.74
    theless
    -0.73
    ktop
    -0.72
    enei
    -0.71
    esome
    -0.71
    POSITIVE LOGITS
     Transcript
    0.85
     VII
    0.82
     Episode
    0.80
    Episode
    0.80
    ÃįÃį
    0.74
     III
    0.70
    Stage
    0.70
    lude
    0.69
     Ep
    0.69
     Interview
    0.68
    Activations Density 0.024%

    No Known Activations