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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. 7-RES-JB
    11. 3637
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    Explanations

    phrases containing the word "ied" with intensifying activation for variations of the word such as "ies" and "ier."

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "die" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    adium
    -0.87
    wcsstore
    -0.77
    ivities
    -0.76
    ional
    -0.74
    iffs
    -0.73
    ivity
    -0.72
    ivia
    -0.71
    atform
    -0.69
    ities
    -0.68
    atever
    -0.68
    POSITIVE LOGITS
    utenant
    0.84
    e
    0.79
    hl
    0.73
    eries
    0.71
    ea
    0.71
    cence
    0.70
    ystem
    0.70
    llo
    0.69
    lla
    0.68
    dom
    0.68
    Activations Density 0.045%

    No Known Activations