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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 16489
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ELECT
    -0.60
     blocked
    -0.60
     jet
    -0.59
     protected
    -0.59
     instant
    -0.58
     defer
    -0.58
     inst
    -0.57
     tall
    -0.57
     midnight
    -0.56
     pursu
    -0.56
    POSITIVE LOGITS
    ology
    4.51
    ological
    3.18
    ologies
    3.02
    ologists
    3.00
    ologist
    2.97
    OLOGY
    2.62
    ologically
    2.60
    ologic
    2.33
    olog
    2.22
    OLOG
    1.84
    Activations Density 0.006%

    No Known Activations