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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. 2-RES-JB
    11. 18508
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    INDEX
    Explanations

    positive adjectives that denote excellence

    oai_token-act-pair · gpt-3.5-turbo

    high praise or positive descriptors for performances or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.79
    verson
    -0.70
    DN
    -0.69
     Dept
    -0.68
    Phase
    -0.68
    soDeliveryDate
    -0.67
    EAR
    -0.65
    ople
    -0.64
    NetMessage
    -0.64
    UME
    -0.63
    POSITIVE LOGITS
    ly
    0.95
    ulously
    0.95
     tremend
    0.82
     superb
    0.80
    culosis
    0.78
    ously
    0.76
    otomy
    0.74
    icz
    0.73
    visor
    0.72
    rous
    0.71
    Activations Density 0.014%

    No Known Activations