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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. 7560
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ._
    -0.73
     Tsukuyomi
    -0.65
     fault
    -0.64
    addin
    -0.59
    grass
    -0.58
     Mansion
    -0.56
    OPA
    -0.55
     Ion
    -0.55
    WARE
    -0.55
     pci
    -0.54
    POSITIVE LOGITS
    etc
    0.83
     ect
    0.76
    whatever
    0.72
     etc
    0.72
     befriend
    0.64
    rehend
    0.63
    ivot
    0.61
    ourney
    0.60
    educ
    0.59
    lish
    0.59
    Activations Density 0.182%

    No Known Activations