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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. 4-RES-JB
    11. 4630
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    Explanations

    instances where help is given or received

    oai_token-act-pair · gpt-3.5-turbo

    references to assistance or support

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

    No Comments

    Negative Logits
    é¾
    -0.87
    Pict
    -0.79
     Viet
    -0.73
    ORN
    -0.71
    ross
    -0.67
     Bellev
    -0.65
    theless
    -0.65
    ModLoader
    -0.62
    SIM
    -0.62
    aval
    -0.61
    POSITIVE LOGITS
    fully
    1.08
    meet
    0.82
    des
    0.81
    ful
    0.79
     Desk
    0.78
     broker
    0.78
    fulness
    0.76
     facilitate
    0.73
     aid
    0.73
     assisting
    0.72
    Activations Density 0.036%

    No Known Activations