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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. 4-RES-JB
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    Explanations

    the word "vision" used in the context of plans, ideas, or guiding principles

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "vision" in various contexts

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

    No Comments

    Negative Logits
    avis
    -0.83
    atern
    -0.76
    agher
    -0.72
    ãģį
    -0.70
    andise
    -0.66
    paying
    -0.65
    ieri
    -0.64
    ammy
    -0.63
    upon
    -0.62
    nie
    -0.62
    POSITIVE LOGITS
     vision
    1.05
    aries
    1.05
     visions
    0.98
     visionary
    0.84
    naire
    0.81
     Vision
    0.75
    eers
    0.73
     Lisbon
    0.73
    alist
    0.72
     obs
    0.71
    Activations Density 0.014%

    No Known Activations