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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. 3-RES-JB
    11. 20836
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    INDEX
    Explanations

    phrases related to preparation or planning ahead

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to preliminary actions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifling
    -0.75
     Tyrann
    -0.64
     Hunting
    -0.61
     [+
    -0.61
     Militia
    -0.60
     Dys
    -0.60
    ovie
    -0.60
    Sport
    -0.59
    borg
    -0.59
    uto
    -0.58
    POSITIVE LOGITS
     upfront
    1.15
     groundwork
    0.75
    alone
    0.71
     hurdle
    0.70
    ãĥ£
    0.69
    WER
    0.68
    intensive
    0.67
    ayers
    0.67
     rehears
    0.67
    reet
    0.66
    Activations Density 0.007%

    No Known Activations