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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. 9-RES-JB
    11. 1334
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    Explanations

    phrases related to events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uge
    -0.64
     Memor
    -0.63
     abiding
    -0.63
     fixation
    -0.62
     -----
    -0.60
     aster
    -0.57
     fix
    -0.57
    du
    -0.57
    pling
    -0.56
    ban
    -0.56
    POSITIVE LOGITS
     amounted
    1.14
    soever
    0.98
     appears
    0.90
     transpired
    0.89
     happens
    0.89
     amounts
    0.88
     constitutes
    0.87
     resembles
    0.86
     happened
    0.84
     pse
    0.81
    Activations Density 0.082%

    No Known Activations