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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. 20245
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    Explanations

    instances where characters are unaware of a situation or are oblivious to something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lack of awareness or ignorance

    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
    gran
    -0.75
    ccording
    -0.74
    ickr
    -0.72
    hetti
    -0.69
    ŃĶ
    -0.68
    adier
    -0.64
    igsaw
    -0.63
    anches
    -0.62
    lished
    -0.62
    issions
    -0.61
    POSITIVE LOGITS
    ingly
    1.01
    ledge
    0.93
    ness
    0.89
    uania
    0.89
     Leilan
    0.76
    lust
    0.75
    ether
    0.73
    worm
    0.73
    NESS
    0.71
    lect
    0.71
    Activations Density 0.044%

    No Known Activations