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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. 4-RES-JB
    11. 20363
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    Explanations

    phrases related to a specific location or name, potentially related to a fictional or specific character

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ho" and its variations

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

    No Comments

    Negative Logits
    ĻĤ
    -0.72
    actionDate
    -0.67
     conflic
    -0.67
    ADRA
    -0.65
    catentry
    -0.65
     tert
    -0.64
     000000
    -0.64
     reversible
    -0.63
    ĪĴ
    -0.63
     typo
    -0.63
    POSITIVE LOGITS
    pedia
    1.01
    gow
    0.96
    warts
    0.87
    ratulations
    0.83
    inki
    0.76
    velt
    0.75
    ĸļ
    0.73
    182
    0.73
    api
    0.72
    aways
    0.70
    Activations Density 0.073%

    No Known Activations