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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. 4-RES-JB
    11. 4430
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    Explanations

    references to individuals or entities being the target of financial transactions or plans

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of financial and service-related stakeholders

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

    No Comments

    Negative Logits
    SourceFile
    -0.81
    UTERS
    -0.71
     Butt
    -0.62
     Racer
    -0.59
    Grad
    -0.58
    JD
    -0.57
     Nan
    -0.57
    vised
    -0.57
    Title
    -0.56
    CAST
    -0.56
    POSITIVE LOGITS
     Leilan
    0.81
    opausal
    0.75
     enrolled
    0.74
     who
    0.74
    pace
    0.72
    ele
    0.72
    hip
    0.71
     incur
    0.70
     residing
    0.69
    untled
    0.69
    Activations Density 0.267%

    No Known Activations