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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. 2-RES-JB
    11. 6700
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    INDEX
    Explanations

    phrases indicating an action or situation is expected or warranted based on a given circumstance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Given"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imming
    -0.75
    á
    -0.72
    OAD
    -0.67
    CHA
    -0.66
    ounters
    -0.65
    utters
    -0.65
    uder
    -0.64
    ansas
    -0.64
    PLA
    -0.63
    oin
    -0.63
    POSITIVE LOGITS
    pend
    0.79
    notations
    0.74
    stellar
    0.73
     McF
    0.72
    aware
    0.70
    wcs
    0.70
     Given
    0.70
    intendent
    0.69
    bread
    0.68
     quizz
    0.67
    Activations Density 0.016%

    No Known Activations