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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. 2-RES-JB
    11. 2096
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    Explanations

    phrases related to reaching a destination or accomplishing a goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to aiming for or reaching a specific destination or goal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accompanied
    -0.68
     refers
    -0.67
     unsurprisingly
    -0.66
     followed
    -0.66
     Âł Âł
    -0.65
     comprises
    -0.64
     denotes
    -0.63
     showed
    -0.62
     consists
    -0.61
     comprising
    -0.60
    POSITIVE LOGITS
     proverbial
    0.85
     next
    0.79
     foreseeable
    0.77
     inevitable
    0.77
     fullest
    0.77
     rest
    0.75
     proper
    0.75
     balance
    0.72
     desired
    0.71
     tune
    0.70
    Activations Density 2.293%

    No Known Activations