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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. 2-RES-JB
    11. 12623
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    Explanations

    percentages or numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to percentages and statistics

    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
    appropriately
    -0.61
     tremend
    -0.56
    ulet
    -0.56
    sole
    -0.55
    accompanied
    -0.55
    igible
    -0.55
    saf
    -0.53
    querque
    -0.53
    ufact
    -0.53
    rament
    -0.52
    POSITIVE LOGITS
    307
    0.76
    331
    0.68
    653
    0.67
    806
    0.66
    659
    0.66
    309
    0.66
    305
    0.65
    MJ
    0.65
    377
    0.64
    604
    0.64
    Activations Density 0.292%

    No Known Activations