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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. 22918
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    Explanations

    phrases related to carrying or enduring something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bear" and its variations

    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
    anwhile
    -0.81
    inx
    -0.78
    yrim
    -0.77
    arta
    -0.75
    committee
    -0.75
    apo
    -0.68
    anooga
    -0.68
    enta
    -0.68
    phis
    -0.67
    esters
    -0.67
    POSITIVE LOGITS
    bear
    1.06
     bear
    0.91
     cub
    0.86
     Bears
    0.84
     bears
    0.83
     borne
    0.81
     claws
    0.80
    beit
    0.79
     Grizz
    0.78
     paw
    0.76
    Activations Density 0.011%

    No Known Activations