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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. 14238
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    Explanations

    phrases related to opinions or commentary

    oai_token-act-pair · gpt-3.5-turbo

    terms related to validity and acceptance

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    sheets
    -0.80
    doms
    -0.74
    mares
    -0.68
     clears
    -0.68
     emits
    -0.67
    urches
    -0.66
    kees
    -0.65
     ticks
    -0.62
     alarms
    -0.62
     solves
    -0.61
    POSITIVE LOGITS
    omorph
    0.68
     understatement
    0.68
    omorphic
    0.65
    isible
    0.64
    200000
    0.63
    actly
    0.63
     TBD
    0.63
    ALSE
    0.62
     testament
    0.59
    ola
    0.59
    Activations Density 0.500%

    No Known Activations