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

    occurrences of the word "manifest" or its variations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "manifest" and its variations

    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
    apter
    -0.77
    pei
    -0.70
    pg
    -0.70
    zanne
    -0.68
    awk
    -0.67
    judicial
    -0.66
    awks
    -0.65
    ellen
    -0.65
    fer
    -0.64
    ITCH
    -0.64
    POSITIVE LOGITS
     manifests
    1.10
     manifest
    1.05
     manifestation
    0.99
     manifestations
    0.96
     destiny
    0.96
    eering
    0.95
    urations
    0.83
    ly
    0.82
    oes
    0.81
    abal
    0.80
    Activations Density 0.011%

    No Known Activations