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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. 10-RES-JB
    11. 6201
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    INDEX
    Explanations

    phrases describing actions or intentions that involve others

    oai_token-act-pair · gpt-3.5-turbo

    statements about beliefs or feelings related to food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ç«
    -0.55
    Redditor
    -0.54
    issance
    -0.53
    CRE
    -0.52
    roo
    -0.51
    actly
    -0.48
    emn
    -0.48
    inel
    -0.47
    emed
    -0.47
    isal
    -0.47
    POSITIVE LOGITS
     themselves
    1.81
     their
    1.67
    their
    1.61
     THEIR
    1.50
     Their
    1.46
    Their
    1.42
    selves
    1.22
     theirs
    1.11
    They
    1.01
     selves
    0.97
    Activations Density 1.361%

    No Known Activations