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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. 14411
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    Explanations

    adjectives related to importance, uniqueness, and significance

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing significance, novelty, and quality

    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
    SEA
    -0.69
    agram
    -0.69
     Psychiat
    -0.68
     Encyclopedia
    -0.66
    utenant
    -0.63
     Dek
    -0.61
    veyard
    -0.59
    inker
    -0.58
    MAP
    -0.58
     MIC
    -0.57
    POSITIVE LOGITS
     happening
    0.88
    worldly
    0.86
     resembling
    0.83
    else
    0.77
     happened
    0.76
     transpired
    0.75
    abwe
    0.74
     happ
    0.74
    ively
    0.74
    isable
    0.73
    Activations Density 0.086%

    No Known Activations