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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. 0-RES-JB
    11. 13745
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    Explanations

    words related to logic and consistency

    oai_token-act-pair · gpt-3.5-turbo

    terms related to coherence and consistency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spoil
    -0.69
     looms
    -0.69
     desks
    -0.69
     freezes
    -0.62
     freeze
    -0.62
     delays
    -0.62
     backs
    -0.60
     screens
    -0.60
     Fry
    -0.60
     dig
    -0.60
    POSITIVE LOGITS
    herent
    4.52
    herence
    2.44
    hesive
    1.39
    hesion
    1.15
    heres
    1.13
    ordinate
    1.12
     adherent
    1.04
    rency
    1.02
    ciating
    1.02
     adherents
    0.99
    Activations Density 0.026%

    No Known Activations