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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
    11. 4770
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    Explanations

    phrases related to fact-checking and verification

    oai_token-act-pair · gpt-3.5-turbo

    references to factual verification and fact-checking processes

    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
     pige
    -0.80
    JV
    -0.68
     piping
    -0.67
     licences
    -0.63
     Explos
    -0.63
     pigeon
    -0.62
     Carbuncle
    -0.62
     Siem
    -0.60
     warr
    -0.58
     Ack
    -0.57
    POSITIVE LOGITS
    ional
    1.48
    ually
    1.39
    orial
    1.36
    oids
    1.30
    oid
    1.24
    itious
    1.23
    ual
    1.23
    oring
    1.20
    sheet
    1.17
    ored
    1.15
    Activations Density 0.034%

    No Known Activations