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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. 7-RES-JB
    11. 8594
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    Explanations

    words or phrases indicating a contrast between appearance and actuality

    oai_token-act-pair · gpt-3.5-turbo

    expressions that contrast perception with reality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pol
    -0.68
    directed
    -0.64
    eyed
    -0.63
    cause
    -0.62
     fever
    -0.62
    ervative
    -0.61
    ça
    -0.60
    into
    -0.60
    rolled
    -0.60
    mented
    -0.59
    POSITIVE LOGITS
    é¾įå
    0.70
     {:
    0.65
    IRE
    0.64
    esa
    0.64
     however
    0.64
    igne
    0.63
    ãĤ§
    0.61
     neither
    0.59
    ESA
    0.59
    ORPG
    0.58
    Activations Density 0.052%

    No Known Activations