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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. 6-RES-JB
    11. 10806
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    Explanations

    instances of impressive accomplishments or achievements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote significant achievements or accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppo
    -0.71
    ajor
    -0.68
    iant
    -0.67
     srf
    -0.67
     iod
    -0.66
     Leilan
    -0.66
     Dot
    -0.65
    olson
    -0.64
    supp
    -0.63
    ©¶æ
    -0.63
    POSITIVE LOGITS
    hered
    1.98
    icles
    0.97
     feat
    0.97
    icle
    0.94
    icular
    0.87
     feats
    0.86
    hest
    0.84
    hing
    0.82
    chery
    0.78
    iques
    0.78
    Activations Density 0.016%

    No Known Activations