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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. 6-RES-JB
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    Explanations

    the city of London

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of London

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hemy
    -0.82
    icio
    -0.82
    merce
    -0.81
    onies
    -0.80
    mble
    -0.78
    emonic
    -0.76
    earance
    -0.75
    ktop
    -0.74
    ĻĤ
    -0.73
    utation
    -0.73
    POSITIVE LOGITS
     Underground
    1.04
     Bridge
    0.91
     Calling
    0.87
     Borough
    0.87
     Spit
    0.87
     Beckham
    0.87
     borough
    0.86
    bridge
    0.84
    mouth
    0.84
     Harbour
    0.82
    Activations Density 0.020%

    No Known Activations