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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. 12660
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    Explanations

    exclamatory expressions indicating strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    excitement or emphasis in the text

    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
    atories
    -0.85
    atory
    -0.67
    liest
    -0.67
     Yor
    -0.66
    ratulations
    -0.65
    ativity
    -0.65
     glim
    -0.61
    rification
    -0.61
     path
    -0.60
     vein
    -0.60
    POSITIVE LOGITS
    !!
    0.78
    @#&
    0.77
    !!!
    0.77
    BRE
    0.76
    9999
    0.75
    ?:
    0.74
     :-)
    0.74
    thouse
    0.72
    gee
    0.71
    urous
    0.71
    Activations Density 0.010%

    No Known Activations