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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. 9-RES-JB
    11. 17295
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    Explanations

    phrases related to instructions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legislative actions and proposals

    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
    atern
    -0.74
    Tokens
    -0.71
    Ó
    -0.71
    selves
    -0.65
     themselves
    -0.64
    their
    -0.58
    them
    -0.58
    Benz
    -0.58
    Brien
    -0.57
    WAY
    -0.56
    POSITIVE LOGITS
     huh
    0.70
     guiActiveUnfocused
    0.68
     Allows
    0.65
     Fired
    0.61
     Bought
    0.60
     holder
    0.59
     Gets
    0.59
     doesnt
    0.59
     nutshell
    0.58
    ©¶æ
    0.58
    Activations Density 0.447%

    No Known Activations