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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. 7188
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    Explanations

    phrases indicating a focus on analysis, evaluation, or understanding

    oai_token-act-pair · gpt-3.5-turbo

    the word "what" in various contexts

    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
    odge
    -0.67
    robe
    -0.67
    xon
    -0.65
    enburg
    -0.64
    essee
    -0.64
    estone
    -0.62
    geon
    -0.60
    idon
    -0.57
    fect
    -0.57
    arella
    -0.57
    POSITIVE LOGITS
     transpired
    1.39
     happens
    1.37
     happened
    1.31
     constitutes
    1.28
     awaits
    1.12
     separates
    1.03
    soever
    1.02
     happ
    1.01
     distinguishes
    0.99
     motiv
    0.99
    Activations Density 0.097%

    No Known Activations