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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. 11-RES-JB
    11. 14777
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    Explanations

    text related to fact-checking and maybe truth evaluation

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of factuality and verification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pige
    -0.84
     licences
    -0.68
     Siem
    -0.66
     Carbuncle
    -0.66
     pigeon
    -0.61
     Kun
    -0.61
     Pyr
    -0.60
    JV
    -0.59
     Peak
    -0.59
     Peaks
    -0.58
    POSITIVE LOGITS
    ually
    1.41
    ional
    1.40
    oids
    1.36
    itious
    1.29
    oid
    1.27
    orial
    1.26
    ual
    1.20
    oring
    1.19
    uality
    1.17
    checking
    1.15
    Activations Density 0.044%

    No Known Activations