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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. 13460
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    INDEX
    Explanations

    phrases related to future plans or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases or clauses indicating intentions or plans

    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
    listed
    -0.67
     Explan
    -0.67
    quickShipAvailable
    -0.66
     Warning
    -0.60
    croft
    -0.59
    problem
    -0.58
    pointers
    -0.58
    grounds
    -0.58
    clips
    -0.58
    lime
    -0.58
    POSITIVE LOGITS
     keep
    1.11
     make
    1.10
     meet
    1.09
     give
    1.08
     accommodate
    1.06
     accelerate
    1.06
     prioritize
    1.05
     bring
    1.04
     be
    1.04
     stay
    1.01
    Activations Density 0.350%

    No Known Activations