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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. 8-RES-JB
    11. 23666
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    Explanations

    phrases indicating that something should be considered or kept in mind

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "keep in mind."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Moonlight
    -0.64
    Invalid
    -0.61
    çĶ°
    -0.61
     Haram
    -0.60
     Gillespie
    -0.60
     pas
    -0.60
     Fiorina
    -0.58
    hole
    -0.58
     impuls
    -0.57
    onite
    -0.55
    POSITIVE LOGITS
     wraps
    0.76
    qqa
    0.75
     mind
    0.72
     suspense
    0.70
     sidx
    0.69
     remembrance
    0.67
    respect
    0.67
    icio
    0.65
    ichick
    0.65
    readable
    0.63
    Activations Density 0.071%

    No Known Activations