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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. 9-RES-JB
    11. 17724
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    Explanations

    terms related to actions or processes that are energetic or intense

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "rosiness" or positivity in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PowerPoint
    -0.64
     EntityItem
    -0.63
     Mens
    -0.63
     Crit
    -0.62
     Rouge
    -0.61
     Coulter
    -0.61
     Object
    -0.58
     Sons
    -0.57
     misunderstand
    -0.55
     Sack
    -0.55
    POSITIVE LOGITS
    ving
    1.20
    oster
    1.04
    cks
    1.02
    dding
    1.01
    aches
    0.98
    java
    0.98
    tted
    0.97
    verbs
    0.96
    dy
    0.96
    oky
    0.94
    Activations Density 0.021%

    No Known Activations