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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. 3-RES-JB
    11. 24400
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    Explanations

    mentions of the word "ble" which appears to be a common suffix in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to being capable or having the ability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.72
    ancial
    -0.72
     Ernst
    -0.69
    ournal
    -0.67
    ellar
    -0.66
    alli
    -0.65
    ortium
    -0.64
    AMI
    -0.64
    inelli
    -0.62
    ammad
    -0.61
    POSITIVE LOGITS
    bles
    1.14
    ble
    1.11
    bling
    0.90
    bly
    0.88
    bled
    0.87
    vous
    0.82
    tt
    0.80
    ede
    0.74
    theless
    0.74
    ogle
    0.73
    Activations Density 0.014%

    No Known Activations