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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. 4-RES-JB
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    Explanations

    references to street-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to streets or street-related concepts

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

    No Comments

    Negative Logits
    igham
    -0.88
    emort
    -0.78
    xit
    -0.77
    ividual
    -0.74
    emonic
    -0.73
    gow
    -0.71
    ITED
    -0.70
    mingham
    -0.70
    onia
    -0.68
    attery
    -0.68
    POSITIVE LOGITS
    cars
    1.04
    fare
    0.89
     street
    0.88
    fighter
    0.84
    lights
    0.80
    walk
    0.80
    gap
    0.79
    street
    0.78
    walker
    0.77
     streets
    0.76
    Activations Density 0.018%

    No Known Activations