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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. 7-RES-JB
    11. 7301
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    Explanations

    references to named facilities or projects with the word "Inn" in them

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vich
    -0.82
     Typhoon
    -0.70
    izoph
    -0.70
     litter
    -0.69
     Stafford
    -0.66
     spores
    -0.65
     Mub
    -0.63
    =-=-=-=-=-=-=-=-
    -0.61
    nce
    -0.61
     Reason
    -0.60
    POSITIVE LOGITS
    umerable
    1.28
    keeper
    1.18
    ocent
    1.12
    itial
    1.07
    okin
    1.02
    isf
    1.02
    umerous
    1.00
    ologue
    1.00
    umer
    0.96
    ovation
    0.96
    Activations Density 0.027%

    No Known Activations