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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. 1-RES-JB
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    Explanations

    terms related to photosynthesis and biological synthesis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biological processes and inefficiencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    >[
    -0.68
    ãĥ¯ãĥ³
    -0.67
    antage
    -0.67
     Bullets
    -0.66
    DERR
    -0.66
    ãĥīãĥ©
    -0.66
     Nationals
    -0.65
    isu
    -0.65
    mine
    -0.65
    Course
    -0.65
    POSITIVE LOGITS
    ynt
    0.97
    ynthesis
    0.93
     symb
    0.90
     blo
    0.79
    etically
    0.76
    tesque
    0.75
    aye
    0.75
    ollen
    0.72
    yss
    0.72
    icol
    0.71
    Activations Density 0.033%

    No Known Activations