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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. 11-RES-JB
    11. 22153
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    Explanations

    words related to being caught up or reaching a certain level of understanding or progress

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "catch" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behalf
    -0.67
    ifice
    -0.64
    die
    -0.64
    asonry
    -0.56
    eson
    -0.56
    Family
    -0.53
    venge
    -0.53
    ikuman
    -0.53
    ctions
    -0.52
     shalt
    -0.52
    POSITIVE LOGITS
     glimps
    1.07
     sight
    1.00
     wind
    0.98
    phrase
    0.91
     glimpse
    0.90
     fire
    0.89
     pneumonia
    0.89
    footed
    0.84
     up
    0.84
     hold
    0.75
    Activations Density 0.031%

    No Known Activations