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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. 3-RES-JB
    11. 5448
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    Explanations

    objects or items that are commonly paired or associated together

    oai_token-act-pair · gpt-3.5-turbo

    terms related to food, objects, and weapons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERG
    -0.75
    YN
    -0.69
    Reviewer
    -0.68
    UC
    -0.61
    elong
    -0.60
    IOR
    -0.60
    iltr
    -0.60
    SPONSORED
    -0.60
    OV
    -0.59
     actionGroup
    -0.58
    POSITIVE LOGITS
     imitation
    0.72
     amulet
    0.71
    arettes
    0.71
    agne
    0.67
     flakes
    0.67
     fame
    0.66
    utils
    0.65
     salesman
    0.65
     simulator
    0.64
     piety
    0.64
    Activations Density 0.529%

    No Known Activations