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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. 2-RES-JB
    11. 23356
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    Explanations

    references to rodents, specifically rats

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of words related to rats or rodents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verson
    -0.73
    Ļ½
    -0.72
    ctic
    -0.68
    alach
    -0.67
    gur
    -0.67
    «ĺ
    -0.67
    irit
    -0.66
    olulu
    -0.63
    href
    -0.63
    ģĸ
    -0.62
    POSITIVE LOGITS
     Rats
    1.01
    holes
    0.96
    lings
    0.92
    fish
    0.91
    chet
    0.84
     rats
    0.83
     rat
    0.81
    itory
    0.81
     Venom
    0.76
    rig
    0.75
    Activations Density 0.008%

    No Known Activations