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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. 19527
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    Explanations

    questions starting with "What is"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "What is" followed by a subject or query

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ptoms
    -0.75
    asers
    -0.75
    legram
    -0.69
    devices
    -0.69
    itches
    -0.67
    ties
    -0.66
    forces
    -0.65
    values
    -0.65
    eez
    -0.64
    lems
    -0.64
    POSITIVE LOGITS
     happening
    1.02
     meant
    0.77
     supposed
    0.76
     wrong
    0.76
    omorphic
    0.72
     going
    0.71
     YOUR
    0.70
     your
    0.70
     implied
    0.70
     transpired
    0.67
    Activations Density 0.051%

    No Known Activations