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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. 0-RES-JB
    11. 19873
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    Explanations

    words related to actions or steps to be taken

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "proceed" and its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lines
    -0.74
     Source
    -0.63
    line
    -0.63
     Valentine
    -0.63
    unch
    -0.60
     shortages
    -0.59
     nic
    -0.58
     Daily
    -0.57
    ox
    -0.57
    ubs
    -0.57
    POSITIVE LOGITS
     proceed
    3.57
     proceeded
    2.39
     proceeding
    2.16
     proceeds
    1.95
     Proceed
    1.92
     commence
    1.60
     progresses
    1.24
     commenced
    1.24
     proced
    1.21
     progressing
    1.20
    Activations Density 0.021%

    No Known Activations