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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. 7-RES-JB
    11. 18658
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    Explanations

    references to the concept of mess or disorder

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mess" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.84
    cember
    -0.84
    undai
    -0.79
    vation
    -0.78
    eele
    -0.75
     livest
    -0.74
     obser
    -0.71
    cki
    -0.70
     rall
    -0.68
    rendered
    -0.65
    POSITIVE LOGITS
    engers
    1.58
    enger
    1.14
    iah
    1.10
    aging
    1.04
    aged
    0.93
    INESS
    0.91
    es
    0.88
    iness
    0.83
    ages
    0.81
    ique
    0.81
    Activations Density 0.036%

    No Known Activations