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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. 11-RES-JB
    11. 1825
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    Explanations

    the pattern "Chapter 10 of"

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or quantifiable metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utilized
    -0.64
     utilizing
    -0.64
     traveling
    -0.63
     Pose
    -0.62
     Breed
    -0.61
     totaling
    -0.60
    boro
    -0.59
     kilometers
    -0.59
     realization
    -0.59
     newsp
    -0.58
    POSITIVE LOGITS
    使
    0.82
    Labour
    0.80
    ³³³³³³³³
    0.76
    Shape
    0.75
    ³³³³³³³³³³³³³³³³
    0.74
    alys
    0.74
    DragonMagazine
    0.70
    prem
    0.70
    ³³³³
    0.70
    tree
    0.69
    Activations Density 0.290%

    No Known Activations