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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. 19708
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    Explanations

    alphanumeric sequences with the pattern of numbers followed by letters

    oai_token-act-pair · gpt-3.5-turbo

    identifiers related to technical specifications and data

    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
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    Negative Logits
    heit
    -0.89
    cius
    -0.63
    enhagen
    -0.61
    anchester
    -0.60
     Eleanor
    -0.60
     Medina
    -0.59
     cultivated
    -0.59
     redes
    -0.59
     Byrne
    -0.58
     Sylvia
    -0.58
    POSITIVE LOGITS
    fif
    0.89
    fig
    0.86
    Ïī
    0.74
    ohm
    0.73
    drm
    0.73
    oshenko
    0.69
     è£ıè
    0.69
    thodox
    0.67
    Reply
    0.66
    abytes
    0.66
    Activations Density 0.174%

    No Known Activations