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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. 1-RES-JB
    11. 20134
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    Explanations

    references to the company 'Yahoo'

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Yahoo

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nered
    -0.79
    FUL
    -0.75
    displayText
    -0.75
    usher
    -0.69
    skirts
    -0.64
    successful
    -0.64
    heid
    -0.63
    draw
    -0.62
    regn
    -0.62
    forced
    -0.61
    POSITIVE LOGITS
    ahoo
    1.07
     Yahoo
    0.86
     Haram
    0.74
    okia
    0.67
     MX
    0.64
    outube
    0.64
    ilipp
    0.64
    yahoo
    0.64
    sylv
    0.64
    CN
    0.64
    Activations Density 0.010%

    No Known Activations