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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. 21537
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    Explanations

    the sequence of characters "Ċ"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific image-related terms and references

    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
     immersion
    -0.64
    iqueness
    -0.63
     drums
    -0.61
     criterion
    -0.61
    aterasu
    -0.58
     consec
    -0.58
     abst
    -0.56
    inse
    -0.56
    iversary
    -0.56
    izabeth
    -0.55
    POSITIVE LOGITS
    everal
    0.85
    Jer
    0.84
    ccording
    0.79
    Associated
    0.78
    NFL
    0.75
     SHARES
    0.72
    NBA
    0.72
    Louis
    0.72
    Legendary
    0.71
    Madison
    0.71
    Activations Density 0.064%

    No Known Activations