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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. 1467
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    Explanations

    words related to essential qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "essentials" or things deemed essential

    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
    ãĥ£
    -0.87
    oston
    -0.83
    vernment
    -0.81
    MSN
    -0.75
    bing
    -0.70
    osta
    -0.70
     vitro
    -0.67
    =-=-=-=-
    -0.67
    Äĩ
    -0.66
    ãĤ§
    -0.66
    POSITIVE LOGITS
    entials
    1.38
    entially
    1.29
    enger
    1.20
    andro
    1.05
    ential
    1.04
    ively
    0.89
    ives
    0.88
    atisf
    0.87
    IVE
    0.87
    andra
    0.87
    Activations Density 0.039%

    No Known Activations