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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. 1333
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    INDEX
    Explanations

    phrases related to actions taken or decisions made by specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to actors or entities taking actions

    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
    AGES
    -0.65
    chance
    -0.64
    ITCH
    -0.61
    geries
    -0.60
    ENCY
    -0.59
    Talking
    -0.59
     Falling
    -0.59
    nah
    -0.58
     Thinking
    -0.58
    population
    -0.57
    POSITIVE LOGITS
     ensured
    1.36
     oversaw
    1.30
     gave
    1.29
     drew
    1.26
     drove
    1.22
     took
    1.22
     blew
    1.21
     threw
    1.21
     overcame
    1.20
     helped
    1.19
    Activations Density 0.478%

    No Known Activations