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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. 10-RES-JB
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    Explanations

    mentions of the location "Cal" with emphasis on Cal 9

    oai_token-act-pair · gpt-3.5-turbo

    references to 'Cal' related entities or institutions, particularly educational or geographical

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cherokee
    -0.61
     Lans
    -0.60
     mutated
    -0.59
     lowly
    -0.59
     favour
    -0.57
     praise
    -0.57
     chosen
    -0.56
     nests
    -0.56
     accord
    -0.55
     enrich
    -0.54
    POSITIVE LOGITS
    houn
    1.23
    iphate
    1.22
    endars
    1.17
    culation
    1.15
    culus
    1.15
    ibr
    1.14
    iber
    1.14
    cium
    1.12
    gary
    1.08
    vin
    1.02
    Activations Density 0.025%

    No Known Activations