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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. 2-RES-JB
    11. 19057
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    Explanations

    terms related to discrimination, specifically invitational and observational instances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to discrimination and invitation statuses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Line
    -0.71
     Kills
    -0.70
     Annotations
    -0.67
     Origin
    -0.65
     Front
    -0.65
     Manager
    -0.65
     Flight
    -0.64
     Course
    -0.64
     Sec
    -0.64
     Head
    -0.63
    POSITIVE LOGITS
    ruction
    1.16
    acters
    1.13
    terday
    1.12
    tenance
    1.11
    theless
    1.07
    ãĤ£
    0.99
    utive
    0.99
    anced
    0.98
    perature
    0.97
    ipment
    0.95
    Activations Density 0.128%

    No Known Activations