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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. 8-RES-JB
    11. 16822
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    Explanations

    terms related to consequences or sequences

    oai_token-act-pair · gpt-3.5-turbo

    words related to sequences and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     brow
    -0.68
     pledge
    -0.64
     Bore
    -0.63
     bomber
    -0.63
     vengeance
    -0.62
     pledging
    -0.61
     pin
    -0.61
     betray
    -0.61
    beam
    -0.61
     oath
    -0.61
    POSITIVE LOGITS
    ential
    2.01
    ences
    1.78
    entially
    1.69
    entials
    1.59
    ental
    1.47
    ents
    1.47
    ency
    1.46
    ently
    1.43
    encies
    1.41
    enza
    1.41
    Activations Density 0.080%

    No Known Activations