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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. 0-RES-JB
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    Explanations

    phrases mentioning specific town names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "town" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iferation
    -0.78
    rils
    -0.64
    oeuv
    -0.63
    ister
    -0.62
    ensitive
    -0.61
     Attribution
    -0.61
    dn
    -0.59
    Sources
    -0.59
     Kissinger
    -0.58
    erves
    -0.58
    POSITIVE LOGITS
     town
    3.76
     Town
    2.36
     towns
    2.35
    Town
    2.09
    town
    2.01
     village
    2.00
     city
    1.89
     township
    1.82
     suburb
    1.66
     municipality
    1.56
    Activations Density 0.018%

    No Known Activations