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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. 10-RES-JB
    11. 5372
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    Explanations

    phrases indicating impossibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating difficulties or impossibilities in achieving certain actions or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plates
    -0.77
    soDeliveryDate
    -0.76
     Appears
    -0.71
    ELD
    -0.69
     teasp
    -0.69
     Scenes
    -0.65
     Needs
    -0.64
     Beasts
    -0.62
     Flags
    -0.62
    PE
    -0.61
    POSITIVE LOGITS
     reconcile
    1.21
     distinguish
    1.20
     quantify
    1.18
     accurately
    1.16
     discern
    1.15
     predict
    1.14
     convince
    1.13
     adequately
    1.10
     differentiate
    1.10
     ascertain
    1.08
    Activations Density 0.136%

    No Known Activations