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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. 23753
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    Explanations

    various acronyms or initialisms related to organizations or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of specific codes, abbreviations, and proper names, possibly related to technical or organizational context

    oai_token-act-pair · gpt-3.5-turbo
    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
    effic
    -0.71
    isSpecialOrderable
    -0.66
    ngth
    -0.62
    facing
    -0.62
     Xperia
    -0.61
    vp
    -0.60
    repeat
    -0.60
    replace
    -0.59
    pert
    -0.58
     showc
    -0.58
    POSITIVE LOGITS
    lehem
    0.84
    ÃĽ
    0.84
    reau
    0.82
    ĵĺ
    0.78
    EStreamFrame
    0.76
    apest
    0.74
    emouth
    0.71
    aneers
    0.71
    abase
    0.71
     Jenner
    0.70
    Activations Density 0.771%

    No Known Activations