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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. 15656
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    Explanations

    actions related to forceful tearing or destruction

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tear" and its variations, indicating destruction or removal

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Prospect
    -0.85
    ioxide
    -0.77
    ingham
    -0.75
    é¾įå
    -0.72
    rouse
    -0.69
    atar
    -0.68
    enhagen
    -0.66
    ammy
    -0.65
    efficients
    -0.65
     Users
    -0.63
    POSITIVE LOGITS
    adoes
    1.08
     tearing
    1.01
     tore
    0.88
     tear
    0.88
     tears
    0.85
     holes
    0.78
     scars
    0.73
     wrench
    0.72
    owship
    0.72
    ados
    0.71
    Activations Density 0.005%

    No Known Activations