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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. 3-RES-JB
    11. 17508
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    Explanations

    personal pronouns and verbs related to past tense experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to individual actions and personal significance in events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.45
     Streaming
    -0.35
     Siege
    -0.32
     âĢķ
    -0.32
     ..........
    -0.31
     Morty
    -0.30
    =-=-
    -0.30
    Fast
    -0.29
     Loading
    -0.29
     srfAttach
    -0.29
    POSITIVE LOGITS
    ividual
    0.35
     favoured
    0.35
    senal
    0.32
     explan
    0.32
     conduc
    0.32
    soDeliveryDate
    0.32
    âĵĺ
    0.32
     enthusi
    0.32
    swick
    0.32
    dinand
    0.32
    Activations Density 3.466%

    No Known Activations