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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. 7905
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    terms related to financial transactions and earnings

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to financial transactions and expenditures

    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
    sit
    -0.75
    RET
    -0.72
    hun
    -0.62
    yrinth
    -0.61
    istries
    -0.61
    hov
    -0.60
    strength
    -0.59
    rid
    -0.58
     paste
    -0.58
    clerosis
    -0.57
    POSITIVE LOGITS
     therein
    0.84
     by
    0.82
     during
    0.82
     BY
    0.73
     outdoors
    0.71
    encer
    0.67
    pez
    0.67
    ngth
    0.65
    encers
    0.64
    itives
    0.62
    Activations Density 0.172%

    No Known Activations