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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. 8939
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    INDEX
    Explanations

    the word "Pin" followed by a number (possibly related to a product or brand)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific brand or product

    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
    anwhile
    -1.07
    theless
    -0.82
    ccording
    -0.79
    ngth
    -0.75
    ITNESS
    -0.73
    OULD
    -0.71
    CONCLUS
    -0.66
    earch
    -0.66
    ODY
    -0.65
    perse
    -0.65
    POSITIVE LOGITS
     Pin
    1.23
    ochet
    1.09
    Pin
    0.98
     pin
    0.90
    ned
    0.87
    ning
    0.84
    pin
    0.77
    azaki
    0.76
    pointer
    0.74
    wheel
    0.74
    Activations Density 0.004%

    No Known Activations