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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. 2693
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    Explanations

    phrases related to long-term commitments or durations

    oai_token-act-pair · gpt-3.5-turbo

    references to involvement in various activities or industries

    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
     Ging
    -0.60
     Dresden
    -0.60
     Flavoring
    -0.58
    Stars
    -0.58
     runtime
    -0.56
     Pix
    -0.56
    izens
    -0.55
     fundament
    -0.55
    auts
    -0.54
     gp
    -0.54
    POSITIVE LOGITS
     forever
    0.87
     somewhere
    0.86
     awhile
    0.80
    wired
    0.76
     indefinitely
    0.72
    shape
    0.71
     anyway
    0.70
     thro
    0.67
     anyways
    0.67
     illegally
    0.66
    Activations Density 0.283%

    No Known Activations