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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. 0-RES-JB
    11. 2388
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    Explanations

    words related to items such as 'prison', 'parasites', 'guards', 'shooting', 'fishing nets', and 'professors'

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "rim" and phrases related to discrimination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     staged
    -0.75
     Upton
    -0.73
     exercise
    -0.66
     leftist
    -0.65
     Carl
    -0.64
     safe
    -0.63
     ready
    -0.63
     delivery
    -0.62
     Ready
    -0.62
     kinderg
    -0.61
    POSITIVE LOGITS
    rim
    4.81
    rimination
    1.84
    ril
    1.62
    crim
    1.38
    rib
    1.29
    rir
    1.26
    rum
    1.24
    rid
    1.22
    ris
    1.20
    rons
    1.19
    Activations Density 0.012%

    No Known Activations