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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. 8-RES-JB
    11. 6289
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    INDEX
    Explanations

    terms related to measuring or quantifying the quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    references to capacity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aida
    -0.83
    roma
    -0.74
    gnu
    -0.70
    scene
    -0.70
    enthal
    -0.69
     Ide
    -0.67
    atari
    -0.67
    ochet
    -0.67
    ĸļ
    -0.66
    isco
    -0.66
    POSITIVE LOGITS
     capacities
    1.35
     capacity
    1.24
     Capacity
    1.05
     utilization
    0.98
    capacity
    0.98
    acity
    0.79
     mismatch
    0.75
     capability
    0.74
     gaps
    0.74
     capabilities
    0.73
    Activations Density 0.031%

    No Known Activations