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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3407
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    INDEX
    Explanations

    mentions of a proper noun "Pot"

    oai_token-act-pair · gpt-3.5-turbo

    the word "Pot" and its variations indicating various contexts or subjects

    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
     silence
    -0.74
    âĸ¬
    -0.71
    IGH
    -0.69
     obser
    -0.61
     annotations
    -0.60
     Wildcats
    -0.59
    VEL
    -0.59
     livest
    -0.59
     Falcons
    -0.58
     stride
    -0.57
    POSITIVE LOGITS
    assium
    1.57
    atoes
    1.51
    entially
    1.23
    ential
    1.12
    tery
    1.12
    luck
    1.08
    ato
    1.05
    entials
    1.04
    ting
    1.00
    pour
    0.98
    Activations Density 0.018%

    No Known Activations