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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. 1-RES-JB
    11. 6768
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    Explanations

    organizations or entities with the word "Corp" in it

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations or partnerships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INS
    -0.78
    cester
    -0.78
    IER
    -0.73
    hered
    -0.71
    endered
    -0.69
    ENE
    -0.66
    bats
    -0.64
    tnc
    -0.64
    ãĥĢ
    -0.63
    ste
    -0.62
    POSITIVE LOGITS
     sanction
    0.63
     respectively
    0.63
    neum
    0.62
    tumblr
    0.60
     customs
    0.60
     Dumb
    0.60
    intent
    0.59
     DPR
    0.59
     probabilities
    0.58
    ebin
    0.57
    Activations Density 0.000%

    No Known Activations