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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. 19609
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    Explanations

    phrases related to analysis, evaluation, and assessment of various topics or situations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to risks, roles, and values in various contexts

    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
    enegger
    -0.84
    },{"
    -0.65
    FIN
    -0.62
    APTER
    -0.62
     Sr
    -0.61
    cffffcc
    -0.60
    oslov
    -0.59
     Dram
    -0.58
     consecut
    -0.55
     SIM
    -0.54
    POSITIVE LOGITS
    fulness
    0.87
    ability
    0.85
    worthiness
    0.76
     effectiveness
    0.74
    ibility
    0.73
    effects
    0.72
     hazards
    0.71
    lessness
    0.70
     efficacy
    0.69
    odynamics
    0.69
    Activations Density 0.519%

    No Known Activations