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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. 10-RES-JB
    11. 5259
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    Explanations

    words related to features, characteristics, qualities, and elements

    oai_token-act-pair · gpt-3.5-turbo

    key concepts and themes related to challenges and complexities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GROUP
    -0.58
    olic
    -0.58
     Guys
    -0.58
     refres
    -0.57
     Spears
    -0.56
     Town
    -0.55
    aughed
    -0.54
    THING
    -0.54
     Courage
    -0.53
     LOT
    -0.53
    POSITIVE LOGITS
     counterparts
    0.83
     counterpart
    0.81
    lessness
    0.81
     merits
    0.78
     namesake
    0.77
    fulness
    0.76
     tentacles
    0.72
     cousin
    0.71
    iness
    0.69
     brethren
    0.69
    Activations Density 0.341%

    No Known Activations