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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. 9-RES-JB
    11. 13550
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    Explanations

    terms related to financial concepts and actions

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to financial and economic metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.83
    sbm
    -0.68
    oros
    -0.67
    çīĪ
    -0.64
    bern
    -0.64
    orr
    -0.63
    ician
    -0.62
    oneliness
    -0.62
    oci
    -0.62
    argon
    -0.61
    POSITIVE LOGITS
     considerably
    1.35
     exponentially
    1.27
     dramatically
    1.23
     enormously
    1.15
     drastically
    1.14
     tremendously
    1.13
     substantially
    1.11
     significantly
    1.07
     accordingly
    1.06
     immensely
    1.02
    Activations Density 0.295%

    No Known Activations