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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. 17681
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    Explanations

    phrases related to expressing thoughts or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinions and hypothetical reasoning

    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
    abases
    -0.74
    azar
    -0.64
    Lastly
    -0.61
    Ult
    -0.61
    Scroll
    -0.61
    emn
    -0.60
    gren
    -0.59
    nan
    -0.59
    oa
    -0.59
    avier
    -0.59
    POSITIVE LOGITS
     rather
    0.75
     merely
    0.68
    uggest
    0.65
    ¥µ
    0.61
     indicative
    0.61
    INESS
    0.61
    POSE
    0.60
     Rather
    0.60
    rather
    0.58
    rav
    0.58
    Activations Density 0.202%

    No Known Activations