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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. 1-RES-JB
    11. 7378
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    Explanations

    phrases or instances of spoken words in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of speaking or spoken language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urat
    -0.71
    ilts
    -0.70
    resses
    -0.70
    abol
    -0.69
    jac
    -0.69
    urses
    -0.67
    oter
    -0.66
    nature
    -0.66
    riot
    -0.66
    1994
    -0.66
    POSITIVE LOGITS
     spoken
    1.27
     aloud
    0.99
    escription
    0.84
     speakers
    0.81
    spoken
    0.79
     fluent
    0.79
     encount
    0.79
     artic
    0.78
     phon
    0.75
     engagements
    0.75
    Activations Density 0.006%

    No Known Activations