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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. 882
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    INDEX
    Explanations

    phrases related to various factors contributing to a situation or outcome

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various influencing factors

    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
    reet
    -0.84
     Portable
    -0.77
    aris
    -0.72
    phabet
    -0.71
    boro
    -0.70
    sterdam
    -0.68
    deen
    -0.68
    iens
    -0.68
    lance
    -0.67
    lite
    -0.67
    POSITIVE LOGITS
     factors
    1.44
     contributing
    1.37
     influencing
    1.36
     influences
    1.32
     factor
    1.26
     causation
    1.26
     contribut
    1.24
     affecting
    1.17
     predis
    1.15
     Factors
    1.15
    Activations Density 0.432%

    No Known Activations