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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. 10-RES-JB
    11. 3342
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    INDEX
    Explanations

    words related to cause and effect relationships

    oai_token-act-pair · gpt-3.5-turbo

    connections and dependencies between factors and their effects

    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
    pheus
    -0.70
    ione
    -0.69
     reperto
    -0.67
     loving
    -0.67
     classy
    -0.66
     triumphant
    -0.66
     earnest
    -0.64
    steen
    -0.64
    ilion
    -0.63
    vez
    -0.63
    POSITIVE LOGITS
     prevented
    1.39
     caused
    1.34
     hind
    1.31
     adversely
    1.31
     complicate
    1.29
     resulted
    1.29
     hinder
    1.28
     hindered
    1.28
     hampered
    1.27
     exacerbated
    1.26
    Activations Density 0.498%

    No Known Activations