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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. 18790
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    Explanations

    phrases related to making a positive impact

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making a positive impact or change

    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
    oked
    -0.71
    stra
    -0.66
    IDES
    -0.65
    cephal
    -0.64
    ©¶æ
    -0.63
     plagiar
    -0.63
    hent
    -0.62
     faults
    -0.62
    chell
    -0.61
     DRAGON
    -0.61
    POSITIVE LOGITS
    hole
    0.78
    Aid
    0.63
     wherever
    0.63
    Marginal
    0.62
    bucks
    0.62
    Shape
    0.61
    elight
    0.60
     impact
    0.60
     EFF
    0.60
     (%
    0.60
    Activations Density 0.027%

    No Known Activations