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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. 3-RES-JB
    11. 4364
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    Explanations

    phrases related to generating ideas or solutions

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "come up," particularly in various contexts and usages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.78
     CLSID
    -0.68
    rouse
    -0.66
     Unloaded
    -0.66
    =]
    -0.65
    tein
    -0.63
    "]=>
    -0.62
    cas
    -0.62
    ]"
    -0.61
    chio
    -0.60
    POSITIVE LOGITS
    river
    0.77
    stairs
    0.72
     stairs
    0.71
    grades
    0.71
    skirts
    0.70
    stage
    0.68
    quest
    0.68
    adesh
    0.67
    dates
    0.65
    ixel
    0.65
    Activations Density 0.045%

    No Known Activations