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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. 7-RES-JB
    11. 21544
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    Explanations

    words related to completing tasks or achieving goals

    oai_token-act-pair · gpt-3.5-turbo

    references to tasks and processes related to content and project management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilial
    -0.65
     valiant
    -0.62
     Tanz
    -0.61
    ICA
    -0.58
     subdu
    -0.58
    shall
    -0.58
     Neurolog
    -0.58
     todd
    -0.56
    é¾įå¥ij士
    -0.56
    Accessory
    -0.56
    POSITIVE LOGITS
     ready
    0.73
    peed
    0.73
     ASAP
    0.72
     traction
    0.70
    osc
    0.70
    ready
    0.70
     closer
    0.69
     Rid
    0.67
     attention
    0.67
    pleted
    0.66
    Activations Density 0.378%

    No Known Activations