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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. 2086
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    Explanations

    information related to computer protocols and data formats, including domain names and server configurations

    oai_token-act-pair · gpt-3.5-turbo

    significant organizational entities or metrics in the text

    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
    •EggList

    No Comments

    Negative Logits
    CHAR
    -0.74
     Cla
    -0.71
     Stephanie
    -0.68
     Chambers
    -0.66
     chalk
    -0.65
     150
    -0.64
     chilled
    -0.64
     sher
    -0.63
     meter
    -0.62
    Jamie
    -0.61
    POSITIVE LOGITS
    o
    1.28
    os
    1.27
    oc
    1.24
    ó
    1.18
    ov
    1.16
    op
    1.16
    OC
    1.16
    ost
    1.16
    ocon
    1.16
    ow
    1.14
    Activations Density 0.257%

    No Known Activations