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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. 6-RES-JB
    11. 23773
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    INDEX
    Explanations

    phrases related to high priority tasks or issues

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding priorities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tiny
    -0.75
    ocks
    -0.74
    reens
    -0.71
    ingers
    -0.71
    inally
    -0.71
    annis
    -0.70
    Afee
    -0.70
    imar
    -0.68
    redd
    -0.67
    ears
    -0.67
    POSITIVE LOGITS
     priority
    0.99
     prioritize
    0.90
     priorities
    0.88
     consideration
    0.87
     duty
    0.87
     priorit
    0.86
    priority
    0.84
     allocation
    0.84
     Priority
    0.79
     allocations
    0.74
    Activations Density 0.026%

    No Known Activations