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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. 6-RES-JB
    11. 664
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    Explanations

    dates and days of the week

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "On" followed by dates or temporal references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MODE
    -0.79
    $$
    -0.70
    QB
    -0.63
    ACTED
    -0.62
    Tes
    -0.60
    OULD
    -0.59
    RL
    -0.59
     actionGroup
    -0.59
    @#
    -0.58
    Naz
    -0.58
    POSITIVE LOGITS
    slaught
    1.29
    coming
    1.14
     behalf
    1.09
    eness
    1.09
    assis
    0.95
    etime
    0.95
    sight
    0.91
     occasion
    0.90
    ward
    0.88
    look
    0.87
    Activations Density 0.054%

    No Known Activations