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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. 5153
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    Explanations

    adjectives denoting extreme states or conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to descriptions of situations that are difficult to comprehend or extreme conditions

    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
     circulation
    -0.75
     intest
    -0.71
     outline
    -0.71
     RI
    -0.68
     cue
    -0.67
    ynthesis
    -0.66
     redes
    -0.64
     initiative
    -0.62
     plank
    -0.62
     direction
    -0.61
    POSITIVE LOGITS
    ously
    1.36
    ably
    1.31
    able
    1.23
    ous
    1.22
    ABLE
    1.14
    urable
    1.08
    ional
    1.06
    ingly
    1.05
    ishly
    1.03
    OUS
    1.01
    Activations Density 0.117%

    No Known Activations