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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. 10-RES-JB
    11. 4751
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    INDEX
    Explanations

    measurements such as lengths and widths

    oai_token-act-pair · gpt-3.5-turbo

    coordinates and dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onica
    -0.88
    prise
    -0.85
    ļéĨĴ
    -0.83
    ukong
    -0.80
    orio
    -0.79
    nesday
    -0.75
    sers
    -0.73
    otiation
    -0.73
    iasm
    -0.72
    oru
    -0.72
    POSITIVE LOGITS
     weighed
    1.15
     riddled
    1.15
     devoid
    1.14
     weighs
    1.13
     prone
    1.13
     incapable
    1.10
     capable
    1.09
     weighing
    1.08
     lacking
    1.05
     possesses
    1.04
    Activations Density 0.285%

    No Known Activations