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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. 6-RES-JB
    11. 7537
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    INDEX
    Explanations

    financial and economic terms or references

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating competitive priorities and factors affecting economic circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.76
    .–
    -0.73
    ."
    -0.68
    "—
    -0.66
    ]."
    -0.66
     ."
    -0.65
    ."[
    -0.64
    .""
    -0.61
    .</
    -0.60
    .).
    -0.59
    POSITIVE LOGITS
     meanwhile
    0.70
     partName
    0.63
    iage
    0.59
     Painter
    0.55
    romeda
    0.54
     Winc
    0.54
     Sins
    0.54
    senal
    0.54
    odore
    0.52
    reenshots
    0.52
    Activations Density 1.362%

    No Known Activations