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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. 0-RES-JB
    11. 4181
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    INDEX
    Explanations

    the word "expectations" followed by a numerical value representing the strength of the expectation

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words related to expectations and the concept of anticipating outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tip
    -0.72
    rael
    -0.69
    edit
    -0.69
     located
    -0.68
    hide
    -0.65
    nr
    -0.65
    linked
    -0.64
    link
    -0.64
    rix
    -0.63
    clip
    -0.62
    POSITIVE LOGITS
     expectations
    3.92
     expectation
    2.77
     Expect
    1.85
     aspirations
    1.64
     perceptions
    1.61
     assumptions
    1.55
     predictions
    1.43
     hopes
    1.42
     ambitions
    1.41
     norms
    1.39
    Activations Density 0.023%

    No Known Activations