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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. 3-RES-JB
    11. 21143
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    INDEX
    Explanations

    mentions of the company "Deloitte"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the consulting firm Deloitte

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.96
    anwhile
    -0.84
    xual
    -0.81
     Asylum
    -0.72
    enegger
    -0.71
    ItemTracker
    -0.71
    uyomi
    -0.70
    OLOGY
    -0.69
     Moonlight
    -0.67
    SHIP
    -0.66
    POSITIVE LOGITS
    ayed
    1.13
    usional
    1.09
    ivery
    1.09
    ivering
    1.05
    aware
    1.04
    ivered
    1.02
    iber
    1.00
    iver
    0.98
    phi
    0.96
    usion
    0.95
    Activations Density 0.008%

    No Known Activations