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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 10-RES-JB
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    Explanations

    adjectives describing qualities of people

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe positive qualities and attributes of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subscriptions
    -0.66
     Pledge
    -0.65
     subscription
    -0.65
     closures
    -0.65
    çīĪ
    -0.65
    doms
    -0.59
    rocal
    -0.59
     GMOs
    -0.58
     Proced
    -0.58
     iPads
    -0.57
    POSITIVE LOGITS
     enough
    1.35
    enough
    1.24
     Enough
    1.00
     athlet
    0.86
     himself
    0.86
    bodied
    0.85
    blooded
    0.84
    faced
    0.82
     minded
    0.82
    headed
    0.81
    Activations Density 0.253%

    No Known Activations