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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. 10-RES-JB
    6. 19869
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    Explanations

    phrases related to time constraints and availability

    oai_token-act-pair · gpt-3.5-turbo

    references to time constraints and limitations

    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
    ANGE
    -0.59
    irie
    -0.56
    ophone
    -0.51
    inguishable
    -0.50
    DCS
    -0.50
    aming
    -0.50
    oplan
    -0.50
    angel
    -0.50
    onomy
    -0.49
    ophon
    -0.49
    POSITIVE LOGITS
     nor
    1.25
     anymore
    1.24
     to
    0.93
    yet
    0.82
    to
    0.80
    To
    0.79
     yet
    0.72
     thereto
    0.72
    Or
    0.72
    nor
    0.70
    Activations Density 0.211%

    No Known Activations