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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. 8-RES-JB
    11. 9513
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    INDEX
    Explanations

    phrases related to seeking or pursuing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intention or desire to take action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spaces
    -0.71
     Born
    -0.70
     Legs
    -0.70
    faces
    -0.70
     Died
    -0.69
     TAMADRA
    -0.68
    horn
    -0.66
     Naked
    -0.64
    hot
    -0.63
    Got
    -0.63
    POSITIVE LOGITS
     emulate
    1.39
     revive
    1.31
     capitalize
    1.31
     reconcile
    1.30
     eliminate
    1.27
     impose
    1.26
     consolidate
    1.26
     establish
    1.26
     clarify
    1.25
     reassure
    1.25
    Activations Density 0.185%

    No Known Activations