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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 19058
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    Explanations

    specific alphanumeric patterns or character sequences within text

    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters in non-Latin scripts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Polaris
    -0.75
    ktop
    -0.73
     Mutual
    -0.67
     Gravity
    -0.67
     Jenner
    -0.67
     Clover
    -0.65
     Raleigh
    -0.64
     Wichita
    -0.63
     Neural
    -0.62
    OHN
    -0.62
    POSITIVE LOGITS
    ģ
    1.52
    ĥ
    1.36
    Ĥ
    1.32
    Ģ
    1.32
    Ù
    1.23
    Ĭ
    1.23
    ĺ
    1.21
    ij
    1.20
    ł
    1.20
    ī
    1.17
    Activations Density 0.005%

    No Known Activations