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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 6599
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    Explanations

    mentions of joblessness or employment-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of being "less" or suggesting a reduction in various contexts

    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
    é¾įåĸļ士
    -0.80
    NL
    -0.71
    Ro
    -0.69
     DRAG
    -0.68
    href
    -0.68
    UCT
    -0.66
    auc
    -0.66
    pta
    -0.66
    ãĥ¤
    -0.65
    çĭ
    -0.64
    POSITIVE LOGITS
     republican
    0.73
     moderation
    0.72
     statist
    0.69
     Nadu
    0.68
     manufact
    0.66
     endors
    0.65
    zona
    0.65
     agre
    0.64
    Pg
    0.64
     biotech
    0.64
    Activations Density 0.100%

    No Known Activations