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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 23308
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    Explanations

    verbs related to negative or confrontational behavior

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "engage in" followed by various activities or behaviors

    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
     emerges
    -0.75
     emerge
    -0.65
    PATH
    -0.61
     shine
    -0.61
    makers
    -0.60
    loo
    -0.59
     sisters
    -0.59
     headlined
    -0.59
     convol
    -0.58
     thresholds
    -0.58
    POSITIVE LOGITS
    ordinate
    1.02
    umbn
    0.96
     conversation
    0.89
    ventory
    0.82
     dialogue
    0.79
     vitro
    0.78
     pursuit
    0.76
     discussions
    0.74
     conjunction
    0.73
    cheon
    0.73
    Activations Density 0.051%

    No Known Activations