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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. 0-RES-JB
    11. 11753
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    Explanations

    phrases related to opportunities or chances

    oai_token-act-pair · gpt-3.5-turbo

    words related to chances or opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oj
    -0.77
     Esper
    -0.72
    rig
    -0.70
    cow
    -0.68
     unfocusedRange
    -0.66
    efer
    -0.66
    bots
    -0.66
     cows
    -0.63
    Cow
    -0.63
    cend
    -0.61
    POSITIVE LOGITS
    ANCE
    3.17
    ANT
    1.89
    alis
    1.28
    TRY
    1.19
    alla
    1.08
     Vance
    1.00
    OPE
    0.96
     melan
    0.88
     STATES
    0.87
     Bahamas
    0.87
    Activations Density 0.045%

    No Known Activations