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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. 6-RES-JB
    11. 13797
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    Explanations

    personal pronouns that are objects of verbs

    oai_token-act-pair · gpt-3.5-turbo

    the word "whom" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roads
    -0.75
    pod
    -0.69
    âĨ
    -0.68
    ricks
    -0.66
    pad
    -0.66
    termin
    -0.64
    case
    -0.63
    reach
    -0.63
    Loading
    -0.63
    MG
    -0.63
    POSITIVE LOGITS
    soever
    1.92
     coh
    0.77
     dearly
    0.76
    irlf
    0.75
     whom
    0.74
    owship
    0.73
    awei
    0.71
     Allaah
    0.70
     superv
    0.69
    selves
    0.69
    Activations Density 0.017%

    No Known Activations