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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. 20629
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    Explanations

    specific numerical data with keywords related to increases, declines, or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to significant changes or increases

    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
    debian
    -0.70
    achine
    -0.63
    ochond
    -0.63
    rive
    -0.60
    ellectual
    -0.60
     gui
    -0.60
     GUI
    -0.60
     tunnels
    -0.59
    ug
    -0.58
     gu
    -0.58
    POSITIVE LOGITS
    ceivable
    0.84
     admission
    0.76
     unheard
    0.76
     departure
    0.73
     Iw
    0.72
     disadvant
    0.71
     testament
    0.71
    quickShipAvailable
    0.69
     reversal
    0.69
     suspic
    0.69
    Activations Density 0.800%

    No Known Activations