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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. 3-RES-JB
    11. 15897
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of areas of study or disciplines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.89
     nodd
    -0.72
    bian
    -0.67
    ILA
    -0.66
    iggle
    -0.66
     vest
    -0.63
     Fas
    -0.63
    iosyn
    -0.62
    ramid
    -0.62
    etsk
    -0.61
    POSITIVE LOGITS
    field
    0.86
    fields
    0.84
    naires
    0.78
    idable
    0.77
     fields
    0.77
    side
    0.76
    places
    0.76
    grass
    0.75
    onet
    0.73
    aday
    0.73
    Activations Density 0.020%

    No Known Activations