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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. 13558
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    Explanations

    phrases that express a preference for one option over another

    oai_token-act-pair · gpt-3.5-turbo

    comparisons emphasizing the importance of process over product 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
    mberg
    -0.73
    hemy
    -0.69
    etts
    -0.63
    esi
    -0.60
    hurst
    -0.60
    emort
    -0.60
    utenberg
    -0.60
    ayne
    -0.59
    inka
    -0.58
    agna
    -0.57
    POSITIVE LOGITS
     than
    1.57
    than
    1.32
     Than
    1.07
     then
    0.72
    Th
    0.70
    Else
    0.69
    othes
    0.68
    asty
    0.67
     TH
    0.66
     willingly
    0.60
    Activations Density 0.026%

    No Known Activations