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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. 21257
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    Explanations

    phrases indicating a preference for an alternative choice or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize alternatives or contrasting ideas

    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
    abases
    -0.73
    ieth
    -0.67
    ILA
    -0.67
     condol
    -0.66
    ika
    -0.65
     Kard
    -0.64
    illas
    -0.63
    mit
    -0.62
    inki
    -0.62
    ipolar
    -0.61
    POSITIVE LOGITS
    Quotes
    0.65
    POSE
    0.62
     preferring
    0.62
     merely
    0.61
     LF
    0.60
     speculate
    0.59
     embodiments
    0.59
    bilt
    0.58
    hub
    0.58
     relied
    0.57
    Activations Density 0.061%

    No Known Activations