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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 11809
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    Explanations

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaults
    -0.76
    depending
    -0.75
     depending
    -0.71
    ģĸ
    -0.65
    ģ«
    -0.58
    İ
    -0.58
     SHALL
    -0.57
     retali
    -0.57
    ipal
    -0.56
    SPONSORED
    -0.56
    POSITIVE LOGITS
    !
    0.94
    !!
    0.91
     :)
    0.89
    !]
    0.88
    !!!
    0.86
    !!!!
    0.82
    !.
    0.82
    !!!!!
    0.80
    !!"
    0.79
     !!
    0.76
    Activations Density 0.287%

    No Known Activations