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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. 9-RES-JB
    11. 10239
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    Explanations

    calls to action or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ready" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    loo
    -0.72
    uo
    -0.71
    Publisher
    -0.69
    regate
    -0.67
    orie
    -0.66
    oret
    -0.65
    aura
    -0.63
    VERTISEMENT
    -0.62
    lasses
    -0.61
    gemony
    -0.60
    POSITIVE LOGITS
     ready
    0.87
    made
    0.84
    Ready
    0.82
     Ready
    0.77
     to
    0.76
    housing
    0.73
     ripe
    0.72
    ready
    0.71
    wired
    0.70
    abouts
    0.69
    Activations Density 0.030%

    No Known Activations