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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. 9-RES-JB
    11. 5717
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    Explanations

    terms related to a variety or selection of items or options

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "range" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ing
    -0.67
    roma
    -0.64
    в
    -0.63
    Row
    -0.63
    Hub
    -0.61
    äºĶ
    -0.61
    mitted
    -0.61
     hoc
    -0.61
    rics
    -0.60
    icut
    -0.60
    POSITIVE LOGITS
    finder
    1.27
     Rover
    1.10
     ranges
    0.84
    ranging
    0.82
    range
    0.75
     lengths
    0.72
    finding
    0.70
    eways
    0.70
    anges
    0.70
    yip
    0.69
    Activations Density 0.034%

    No Known Activations