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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. 11260
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    Explanations

    phrases related to satisfaction or fulfillment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or dissatisfaction

    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
     Sina
    -0.70
    agne
    -0.69
    edia
    -0.66
    nation
    -0.63
    umni
    -0.62
    disc
    -0.61
     Oak
    -0.60
     critically
    -0.59
    GC
    -0.58
    gat
    -0.58
    POSITIVE LOGITS
    atisf
    1.01
     satisfaction
    0.90
     satisf
    0.80
    20439
    0.80
    ledged
    0.79
    terness
    0.79
    orr
    0.76
     endings
    0.75
     thw
    0.75
     satisfying
    0.74
    Activations Density 0.014%

    No Known Activations