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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. 12683
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    Explanations

    reasons or explanations presented in a list format

    oai_token-act-pair · gpt-3.5-turbo

    statements that introduce or list multiple reasons or arguments

    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
    orian
    -0.78
    orate
    -0.65
    urated
    -0.65
    acan
    -0.65
    eez
    -0.65
    oro
    -0.63
    earch
    -0.61
    sterdam
    -0.60
     brut
    -0.58
    atsu
    -0.57
    POSITIVE LOGITS
     Firstly
    1.87
    Firstly
    1.72
     First
    1.61
    First
    1.49
     first
    1.37
    first
    1.27
    1
    1.22
     FIRST
    1.11
     1
    1.06
     starters
    0.92
    Activations Density 0.329%

    No Known Activations