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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. 3056
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    resy
    -0.73
    groups
    -0.67
    soType
    -0.67
    igmatic
    -0.65
    inarily
    -0.63
    Others
    -0.62
     glances
    -0.62
    fg
    -0.61
    viation
    -0.61
    nown
    -0.61
    POSITIVE LOGITS
     Camel
    0.69
     Gw
    0.67
     Alexandria
    0.65
     Amelia
    0.65
     Moscow
    0.63
     Las
    0.62
     Nashville
    0.62
     Mer
    0.61
     Salman
    0.61
     Illum
    0.60
    Activations Density 0.432%

    No Known Activations