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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 16612
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    Explanations

    adjectives ending in '-ing' that indicate a sense of imbalance or distress

    oai_token-act-pair · gpt-3.5-turbo

    the presence of terms related to various states of "hinging" or transitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.68
    cci
    -0.59
     Stafford
    -0.58
     Heb
    -0.58
    Reviewer
    -0.57
     ref
    -0.57
     Sierra
    -0.57
     Banks
    -0.57
     servicing
    -0.56
     Simon
    -0.56
    POSITIVE LOGITS
    hing
    1.12
    tons
    1.06
    rish
    0.86
    rina
    0.85
    \\\\\\\\
    0.85
    hed
    0.84
    edom
    0.83
    ĪĴ
    0.78
    ering
    0.77
    eki
    0.76
    Activations Density 0.002%

    No Known Activations