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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. 17929
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    INDEX
    Explanations

    phrases representing contrasting statements

    oai_token-act-pair · gpt-3.5-turbo

    contractions indicating negation or qualifiers

    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
    ukong
    -0.68
    undy
    -0.64
    ña
    -0.63
    WT
    -0.63
    esc
    -0.63
     BaseType
    -0.61
    negie
    -0.61
    oire
    -0.61
    osate
    -0.61
     CoC
    -0.60
    POSITIVE LOGITS
     nonetheless
    1.67
     nevertheless
    1.53
     still
    1.19
     hardly
    1.17
     nowhere
    1.12
     undeniably
    1.01
     certainly
    1.01
     seldom
    0.96
    still
    0.96
     definitely
    0.94
    Activations Density 0.423%

    No Known Activations