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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
    11. 16927
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    Explanations

    mentions of the city Frankfurt

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Frankfurt" and its related context

    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
    ity
    -0.93
    ed
    -0.87
    aled
    -0.78
    anmar
    -0.76
    mble
    -0.75
    ilant
    -0.74
    ald
    -0.72
    edd
    -0.72
    hester
    -0.71
    iel
    -0.71
    POSITIVE LOGITS
     Lumpur
    0.80
    velop
    0.74
    igmatic
    0.69
    cipl
    0.69
    Phase
    0.69
    pend
    0.67
    tenance
    0.65
    Prin
    0.64
     sands
    0.64
     retard
    0.62
    Activations Density 0.067%

    No Known Activations