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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. 4-RES-JB
    11. 3962
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    Explanations

    statements indicating people's actions, opinions, or involvement in various activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing public opinion and collective views

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

    No Comments

    Negative Logits
    externalActionCode
    -0.59
     predecessor
    -0.55
    catentry
    -0.53
     reinforcement
    -0.52
     successor
    -0.51
    TION
    -0.50
     teasp
    -0.50
    sche
    -0.49
    Cooldown
    -0.49
     Outer
    -0.48
    POSITIVE LOGITS
     alike
    0.78
     themselves
    0.76
     theirs
    0.76
    glers
    0.70
    selves
    0.69
     their
    0.67
    their
    0.64
     collectively
    0.61
     flock
    0.60
     respectively
    0.58
    Activations Density 1.847%

    No Known Activations