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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. 7315
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    Explanations

    terms related to legal and social issues involving actions and behaviors

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to harassment and assault

    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
    [/
    -0.64
    ortium
    -0.62
    izen
    -0.59
    */(
    -0.58
    ynes
    -0.57
    ozy
    -0.57
     Lanka
    -0.56
    Reviewer
    -0.55
    ]).
    -0.55
    actionDate
    -0.54
    POSITIVE LOGITS
    their
    1.40
     their
    1.23
     theirs
    1.18
     THEIR
    1.13
    Their
    1.10
     they
    1.05
    they
    1.01
    They
    0.99
     THEY
    0.96
     Their
    0.93
    Activations Density 1.777%

    No Known Activations