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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. 10-RES-JB
    11. 19017
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    Explanations

    phrases related to "papers" or "documents" or potentially technical documents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ep" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     maj
    -0.64
     unbeliev
    -0.61
     circumst
    -0.61
    cross
    -0.60
     rall
    -0.59
     AMERICA
    -0.59
    UES
    -0.59
     adolesc
    -0.59
     adm
    -0.59
     referen
    -0.59
    POSITIVE LOGITS
    ublic
    1.32
    rint
    1.31
    stakes
    1.19
    olitan
    1.13
    isodes
    1.13
    edia
    1.12
    odcast
    1.10
    iphany
    1.09
    osit
    1.08
    alm
    1.07
    Activations Density 0.027%

    No Known Activations