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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. 9-RES-JB
    11. 9095
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    Explanations

    facts or statements presented as truth

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fact" and related forms in various contexts, particularly in relation to fact-checking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     piping
    -0.74
    JV
    -0.70
     pige
    -0.67
     pigeon
    -0.66
     Carbuncle
    -0.62
     Klux
    -0.58
     Explos
    -0.58
    tone
    -0.57
    arma
    -0.56
    Interstitial
    -0.56
    POSITIVE LOGITS
    ional
    1.43
    ually
    1.41
    orial
    1.28
    ual
    1.18
    itious
    1.14
    oids
    1.11
    sheet
    1.07
    uality
    1.05
    oid
    1.05
    sheets
    1.00
    Activations Density 0.045%

    No Known Activations