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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. 8-RES-JB
    11. 8969
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    Explanations

    phrases related to providing detailed results, instructions, and schedules

    oai_token-act-pair · gpt-3.5-turbo

    content related to statistical polling and its results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    POSE
    -0.75
     imitation
    -0.72
     wounding
    -0.67
     Learns
    -0.67
    gling
    -0.67
    sense
    -0.66
     boredom
    -0.66
    itimate
    -0.66
     penetrating
    -0.63
    dq
    -0.61
    POSITIVE LOGITS
     TBA
    1.04
     details
    1.03
     TBD
    0.99
     Details
    0.96
    details
    0.90
     dates
    0.82
     vary
    0.81
     Dates
    0.81
     include
    0.80
     info
    0.79
    Activations Density 0.324%

    No Known Activations