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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. 9-RES-JB
    11. 3272
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    Explanations

    statistics related to percentage points

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data, particularly percentages and their variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urion
    -0.65
    lication
    -0.65
    involved
    -0.64
    spoken
    -0.61
    accompanied
    -0.60
    ICAN
    -0.59
    htaking
    -0.59
    rodu
    -0.59
    rav
    -0.58
     vetting
    -0.57
    POSITIVE LOGITS
     points
    1.00
     Points
    0.81
     centimeters
    0.81
     inches
    0.80
     digits
    0.80
     tablespoons
    0.80
    Points
    0.80
     pointers
    0.78
    pees
    0.77
     cents
    0.77
    Activations Density 0.087%

    No Known Activations