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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. 8134
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    INDEX
    Explanations

    dimensions expressed in the format of "x number" in a given context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the letter 'x' followed by numerical values and dimensions

    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
    éĹĺ
    -0.92
    ADRA
    -0.83
    assetsadobe
    -0.81
    EMENT
    -0.76
    rawdownloadcloneembedreportprint
    -0.76
    GROUND
    -0.75
    kson
    -0.74
    KEN
    -0.73
    awaru
    -0.73
    channelAvailability
    -0.73
    POSITIVE LOGITS
    yz
    1.04
    xxxxxxxx
    0.96
    posed
    0.95
    xxxx
    0.95
    xxx
    0.88
    xx
    0.86
    iang
    0.85
    actly
    0.83
    avier
    0.81
    iii
    0.80
    Activations Density 0.013%

    No Known Activations