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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. 11353
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    Explanations

    the word "Perfect" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "perfect" or its variations in context

    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
    Downloadha
    -0.89
    SEE
    -0.81
    #$#$
    -0.78
    NetMessage
    -0.77
    ker
    -0.75
    cipl
    -0.74
    ktop
    -0.73
    kers
    -0.73
    lua
    -0.71
    cohol
    -0.70
    POSITIVE LOGITS
    ion
    1.13
    ions
    1.05
     storm
    1.00
     blend
    0.90
     harmony
    0.89
     timing
    0.87
    icut
    0.86
     symmetry
    0.86
    itude
    0.86
     encaps
    0.81
    Activations Density 0.039%

    No Known Activations