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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10595
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    Explanations

    positive emotions or appreciative expressions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of praise, appreciation, and lamentation in the context of social and cultural commentary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oath
    -0.74
    frog
    -0.69
     violet
    -0.67
     shroud
    -0.66
     beads
    -0.66
     ribbon
    -0.65
     assassin
    -0.65
     looms
    -0.64
     hairs
    -0.64
     oats
    -0.64
    POSITIVE LOGITS
    ably
    1.64
    ational
    1.32
    ationally
    1.27
    ations
    1.22
    atory
    1.20
    ability
    1.17
    ating
    1.16
    able
    1.11
    antly
    1.10
    ately
    1.10
    Activations Density 0.039%

    No Known Activations