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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16557
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    Explanations

    mentions of the name "Milton"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the names "Milton" and "Mont," likely referring to specific people or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uler
    -0.79
    ements
    -0.79
    venants
    -0.77
    eker
    -0.76
    cial
    -0.73
    cks
    -0.72
    hiro
    -0.72
    orge
    -0.70
    vol
    -0.69
    Magikarp
    -0.69
    POSITIVE LOGITS
    aneously
    0.99
    aneous
    0.84
    INGTON
    0.75
     Keynes
    0.75
     Gardens
    0.69
     Wynne
    0.68
    elta
    0.66
     Dresden
    0.64
    ipop
    0.64
     Virtue
    0.63
    Activations Density 0.049%

    No Known Activations