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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. 1-RES-JB
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    Explanations

    words ending with "-le" and "-lly" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "le" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rador
    -0.85
     Seym
    -0.83
    ividual
    -0.81
    iaries
    -0.80
    ħĭ
    -0.74
    */(
    -0.74
    oÄŁ
    -0.74
    schild
    -0.74
    raviolet
    -0.74
    displayText
    -0.72
    POSITIVE LOGITS
    ttes
    1.23
    agues
    1.17
    le
    1.11
    lla
    1.08
    lean
    0.98
    isure
    0.95
    ffect
    0.93
    eping
    0.88
    ather
    0.88
    IGH
    0.86
    Activations Density 0.017%

    No Known Activations