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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. 7-RES-JB
    11. 14692
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    Explanations

    terms related to financial yield and return on investment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial returns or outputs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zb
    -0.68
    atem
    -0.65
    hemat
    -0.63
    atis
    -0.63
     tox
    -0.62
    aldo
    -0.62
    zai
    -0.61
    ovie
    -0.59
    ovic
    -0.59
    hemy
    -0.59
    POSITIVE LOGITS
     yield
    0.81
     yields
    0.78
    bang
    0.75
    ells
    0.72
    ensical
    0.71
    uces
    0.70
    hig
    0.70
    enced
    0.69
    ield
    0.68
    minist
    0.68
    Activations Density 0.020%

    No Known Activations