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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. 4-RES-JB
    11. 14480
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    INDEX
    Explanations

    phrases related to catching up or being up-to-date on information or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "catch" and its related forms

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

    No Comments

    Negative Logits
    xual
    -0.78
     prosec
    -0.73
     nomine
    -0.72
    arten
    -0.71
     condem
    -0.70
    htar
    -0.67
     assumes
    -0.67
    ller
    -0.66
    ciplinary
    -0.65
     princip
    -0.64
    POSITIVE LOGITS
    phrase
    0.98
    ãĤ¤
    0.79
    netflix
    0.76
    bowl
    0.75
    weight
    0.74
    ãĤ·ãĥ£
    0.74
    aways
    0.73
    ãĤ¤ãĥĪ
    0.71
     glimps
    0.69
    doors
    0.69
    Activations Density 0.014%

    No Known Activations