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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. 17312
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    INDEX
    Explanations

    actions or events that lead to a significant outcome or result

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant transformations or outcomes

    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
    anything
    -0.66
    anooga
    -0.66
    inery
    -0.63
    istani
    -0.61
     existed
    -0.61
     thereof
    -0.60
    Shift
    -0.60
    gress
    -0.58
    ranged
    -0.58
    quit
    -0.57
    POSITIVE LOGITS
     narrator
    0.70
     Gleaming
    0.65
    Adds
    0.64
     weekly
    0.63
     fascinating
    0.63
     POV
    0.60
     Parables
    0.60
     daily
    0.60
    ometimes
    0.60
     nightly
    0.59
    Activations Density 0.726%

    No Known Activations