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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. 7-RES-JB
    11. 9916
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    oai_token-act-pair · gpt-3.5-turbo

    acronyms and abbreviations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gie
    -0.80
    taboola
    -0.78
    tons
    -0.72
    jar
    -0.69
    cca
    -0.68
    ̶
    -0.67
    bee
    -0.66
    ahs
    -0.65
    ende
    -0.64
    ogie
    -0.64
    POSITIVE LOGITS
    IFIED
    1.06
    DIR
    1.05
    REC
    1.02
    MENT
    1.01
    HY
    1.00
    LEY
    0.99
    ITION
    0.98
    OPS
    0.95
    ODE
    0.94
    ICLE
    0.94
    Activations Density 0.153%

    No Known Activations