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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. 11-RES-JB
    11. 22055
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    Explanations

    phrases related to consistency or alignment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to alignment or conformity to standards or norms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.66
    odor
    -0.61
    chat
    -0.59
    cheat
    -0.58
    anche
    -0.58
    emouth
    -0.57
    hung
    -0.56
    ipl
    -0.56
    agara
    -0.54
    ints
    -0.54
    POSITIVE LOGITS
     with
    1.14
     WITH
    0.95
    with
    0.94
     With
    0.91
    icut
    0.90
    With
    0.88
    arity
    0.82
    amorph
    0.69
     wi
    0.69
    nered
    0.67
    Activations Density 0.170%

    No Known Activations