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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. 11-RES-JB
    11. 23815
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    Explanations

    phrases related to work progress and tasks that need to be completed

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the need for ongoing efforts or improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pecially
    -0.77
    nces
    -0.67
    soType
    -0.66
     exception
    -0.64
     elig
    -0.63
    ounter
    -0.60
    acebook
    -0.59
    bia
    -0.59
    threat
    -0.58
     cancellation
    -0.58
    POSITIVE LOGITS
     undone
    0.77
     overcome
    0.72
     before
    0.72
     done
    0.68
    osta
    0.67
     uncover
    0.67
     figuring
    0.65
     refining
    0.65
     accomplish
    0.64
    tro
    0.62
    Activations Density 0.117%

    No Known Activations