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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. 14371
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    Explanations

    phrases related to decision-making and actions taken in different situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to voting and legislative actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    coat
    -0.67
    ghan
    -0.67
    abases
    -0.63
    rush
    -0.61
    ct
    -0.61
     Wash
    -0.60
    iop
    -0.60
    eric
    -0.58
    icol
    -0.58
    âĢIJ
    -0.57
    POSITIVE LOGITS
     merely
    0.69
    cham
    0.66
    inently
    0.64
    oldown
    0.62
    INESS
    0.61
     MFT
    0.61
    asis
    0.59
    ngth
    0.58
     Parables
    0.58
     ECO
    0.58
    Activations Density 0.265%

    No Known Activations