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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 15949
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    INDEX
    Explanations

    financial terminology and considerations within text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial viability and economic conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gemini
    -0.71
     Execution
    -0.70
     Klu
    -0.70
     Emin
    -0.67
     Commissioners
    -0.66
     Keeper
    -0.66
     Lotus
    -0.66
    vich
    -0.66
    iens
    -0.65
    alities
    -0.65
    POSITIVE LOGITS
    #$#$
    0.86
     incentiv
    0.85
     exting
    0.84
     speaking
    0.82
     disadvantaged
    0.80
     transitioned
    0.79
     enriched
    0.77
     priced
    0.77
     profitable
    0.77
     driven
    0.77
    Activations Density 0.011%

    No Known Activations