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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
    11. 6801
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    Explanations

    references to location terms, particularly focusing on places with the word "Westminster"

    oai_token-act-pair · gpt-3.5-turbo

    references to Westminster and its associated contexts

    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
    onies
    -0.81
    osphere
    -0.80
    alach
    -0.79
    ograp
    -0.78
    vana
    -0.77
    oton
    -0.76
    rahim
    -0.73
    ographed
    -0.72
    kson
    -0.72
    href
    -0.71
    POSITIVE LOGITS
     Abbey
    1.20
    minster
    1.09
     Westminster
    0.92
     Parliament
    0.85
    boro
    0.84
    bridge
    0.83
    shire
    0.81
    bledon
    0.78
    borough
    0.78
     Borough
    0.75
    Activations Density 0.007%

    No Known Activations