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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 569
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    Explanations

    technical terms related to engineering and scientific processes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the beginning of a new representation or descriptive section

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bledon
    -0.65
    ãĤ©
    -0.62
    ãĥ¯ãĥ³
    -0.60
    ãģį
    -0.60
    è¦
    -0.60
    é¾įåĸļ士
    -0.59
    é¾
    -0.59
    ãĥ¼ãĥĨ
    -0.59
    Lear
    -0.58
    Snow
    -0.58
    POSITIVE LOGITS
     âĵĺ
    0.75
     :=
    0.72
     (%)
    0.72
     =
    0.71
     fallacy
    0.70
    ¶
    0.68
     -->
    0.65
     ]
    0.63
     ·
    0.62
     :
    0.62
    Activations Density 0.378%

    No Known Activations