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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. 1-RES-JB
    11. 21133
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    Explanations

    words related to forceful tearing or destruction

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ripped"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    alty
    -0.87
    hart
    -0.78
    é¾įå
    -0.76
    esan
    -0.73
    ðĿ
    -0.73
     Prospect
    -0.71
    Correction
    -0.68
    arist
    -0.68
    itement
    -0.68
    rouse
    -0.65
    POSITIVE LOGITS
     ripped
    1.22
     ripping
    1.01
    adoes
    0.92
     tremend
    0.85
    weed
    0.84
    worms
    0.83
    nesday
    0.76
     plugs
    0.76
     rip
    0.75
     sacked
    0.74
    Activations Density 0.005%

    No Known Activations