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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. 3-RES-JB
    11. 21000
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    Explanations

    references to questionnaires and surveys

    oai_token-act-pair · gpt-3.5-turbo

    references to questionnaires and assessments related to personal experiences and behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adem
    -0.71
    papers
    -0.68
     Desk
    -0.68
    çīĪ
    -0.67
    olini
    -0.66
    anka
    -0.66
    sterdam
    -0.65
    onite
    -0.64
    oided
    -0.64
    perature
    -0.64
    POSITIVE LOGITS
     behaviours
    0.80
     behaviors
    0.76
    OPLE
    0.74
     reperto
    0.68
     ACTIONS
    0.65
    chnology
    0.62
     Behavior
    0.60
     checklist
    0.59
     learners
    0.59
     facilit
    0.58
    Activations Density 0.033%

    No Known Activations