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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. 3530
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    Explanations

    specific years mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" occurring frequently throughout the text

    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
    VALUE
    -0.64
    INGS
    -0.63
     convol
    -0.63
    0000000000000000
    -0.62
     divest
    -0.61
    CAST
    -0.60
    CLASSIFIED
    -0.58
     inval
    -0.57
     dur
    -0.57
    oldown
    -0.57
    POSITIVE LOGITS
     particular
    1.08
     conjunction
    1.04
    clusions
    1.04
    efficiency
    0.99
    verts
    0.99
    ked
    0.99
     nutshell
    0.97
    version
    0.96
    versions
    0.95
     lieu
    0.92
    Activations Density 0.275%

    No Known Activations