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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. 4-RES-JB
    11. 19633
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    Explanations

    adjectives indicating a degree of comparison, specifically indicating a higher level or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating incremental or comparative changes

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

    No Comments

    Negative Logits
     DG
    -0.76
    Af
    -0.67
     Bundes
    -0.67
     Cah
    -0.67
     Ai
    -0.66
    oÄŁ
    -0.64
     Skies
    -0.63
    Ds
    -0.62
     Siber
    -0.62
    SEA
    -0.60
    POSITIVE LOGITS
    ibaba
    0.74
    etch
    0.69
    pload
    0.65
    oshenko
    0.65
     nurs
    0.64
    culus
    0.64
     trickle
    0.64
    itty
    0.63
     wondering
    0.63
    ipop
    0.63
    Activations Density 0.156%

    No Known Activations