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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. 7-RES-JB
    11. 17944
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    Explanations

    phrases containing the expression "keep in mind"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of considering certain thoughts or ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶ°
    -0.78
    LOAD
    -0.69
    BALL
    -0.69
    imately
    -0.64
    bernatorial
    -0.59
     unaccompanied
    -0.58
    DonaldTrump
    -0.58
    FORE
    -0.58
    hole
    -0.58
    IER
    -0.56
    POSITIVE LOGITS
    readable
    0.72
     mind
    0.72
    respect
    0.71
     suspense
    0.70
    ien
    0.67
    clus
    0.67
    lists
    0.65
    inders
    0.64
    avy
    0.63
     wraps
    0.63
    Activations Density 0.050%

    No Known Activations