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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. 8841
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    Explanations

    phrases related to discussing events and actions

    oai_token-act-pair · gpt-3.5-turbo

    commas in sentences

    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
    olves
    -0.64
    interstitial
    -0.61
    ords
    -0.58
    iple
    -0.58
    aukee
    -0.58
    igers
    -0.56
    iary
    -0.55
    odes
    -0.55
    ORPG
    -0.54
    ulz
    -0.53
    POSITIVE LOGITS
     albeit
    0.97
     although
    0.94
     alas
    0.87
     namely
    0.85
     however
    0.85
     except
    0.77
     though
    0.75
     yeah
    0.75
     yes
    0.74
    nown
    0.74
    Activations Density 0.527%

    No Known Activations