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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. 4-RES-JB
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    Explanations

    adjectives, nouns, and verb forms conveying a strong positive sentiment or significance

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that convey strong positive or negative qualities

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

    No Comments

    Negative Logits
    DERR
    -0.76
     srfAttach
    -0.68
    cius
    -0.66
    onics
    -0.64
    ighed
    -0.61
    atever
    -0.61
     Forestry
    -0.61
    perture
    -0.60
    ysics
    -0.60
    FAULT
    -0.60
    POSITIVE LOGITS
    stros
    0.76
     beast
    0.72
     thing
    0.68
     conco
    0.67
     initiative
    0.66
     phenomenon
    0.66
     piece
    0.65
     onslaught
    0.64
     milestone
    0.64
    rous
    0.64
    Activations Density 0.365%

    No Known Activations