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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 16281
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    Explanations

    periods within lists of software-related descriptions or functionalities

    oai_token-act-pair · gpt-3.5-turbo

    decimal numbers or numeric values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     purse
    -0.80
     striking
    -0.68
     amy
    -0.68
     burglary
    -0.67
     shutter
    -0.67
     framing
    -0.67
     alarming
    -0.66
     worsh
    -0.66
     involuntary
    -0.65
     cradle
    -0.64
    POSITIVE LOGITS
    0
    1.09
    5
    1.08
    jpg
    0.96
    6
    0.95
    04
    0.93
    99
    0.93
    dll
    0.92
    txt
    0.92
    05
    0.90
    7
    0.90
    Activations Density 0.101%

    No Known Activations