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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. 4-RES-JB
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    Explanations

    instances of violent actions involving weapons

    oai_token-act-pair · gpt-3.5-turbo

    the word "when" in various contexts

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

    No Comments

    Negative Logits
    agin
    -0.80
    ictive
    -0.75
    rolet
    -0.73
    oult
    -0.68
    edly
    -0.67
    lev
    -0.66
    harm
    -0.65
    hack
    -0.64
    ha
    -0.64
    alin
    -0.63
    POSITIVE LOGITS
    soever
    1.29
    irlf
    0.82
    */(
    0.81
     confronted
    0.79
     asked
    0.75
     encountering
    0.74
     compared
    0.72
     faced
    0.71
     comparing
    0.71
     they
    0.69
    Activations Density 0.123%

    No Known Activations